Nothing Special   »   [go: up one dir, main page]

skip to main content
Skip header Section
Robust regression and outlier detectionAugust 1987
Publisher:
  • John Wiley & Sons, Inc.
  • 605 Third Ave. New York, NY
  • United States
ISBN:978-0-471-85233-9
Published:01 August 1987
Pages:
329
Skip Bibliometrics Section
Reflects downloads up to 20 Nov 2024Bibliometrics
Abstract

No abstract available.

Cited By

  1. Lakra A, Banerjee B and Laha A (2023). A data-adaptive method for outlier detection from functional data, Statistics and Computing, 34:1, Online publication date: 1-Feb-2024.
  2. Yatracos Y (2021). Residual's influence index (RINFIN), bad leverage and unmasking in high dimensional L2‐regression, Statistical Analysis and Data Mining, 15:1, (125-138), Online publication date: 10-Jan-2022.
  3. Zhang Z, Guo F, Zhang X and Pan L (2021). First result of GNSS-R-based sea level retrieval with CMC and its combination with the SNR method, GPS Solutions, 26:1, Online publication date: 1-Jan-2022.
  4. Kaczmarek K and Domański P (2021). Study on outlier robustness of minimum variance control performance assessment, International Journal of Adaptive Control and Signal Processing, 35:11, (2175-2193), Online publication date: 2-Nov-2021.
  5. Weng Y, Shan J, Lu Z, Lu X and Spencer B (2020). Homography‐based structural displacement measurement for large structures using unmanned aerial vehicles, Computer-Aided Civil and Infrastructure Engineering, 36:9, (1114-1128), Online publication date: 14-Aug-2021.
  6. ACM
    Jesus G, Casimiro A and Oliveira A (2021). Using Machine Learning for Dependable Outlier Detection in Environmental Monitoring Systems, ACM Transactions on Cyber-Physical Systems, 5:3, (1-30), Online publication date: 31-Jul-2021.
  7. Le D and Zincir‐Heywood N (2020). Exploring anomalous behaviour detection and classification for insider threat identification, International Journal of Network Management, 31:4, Online publication date: 5-Jul-2021.
  8. Pratap U, Canudas-de-Wit C and Garin F Average state estimation in presence of outliers 2020 59th IEEE Conference on Decision and Control (CDC), (6058-6063)
  9. Domański P (2020). Study on Statistical Outlier Detection and Labelling, International Journal of Automation and Computing, 17:6, (788-811), Online publication date: 1-Dec-2020.
  10. Neumayer S, Nimmer M, Setzer S and Steidl G (2019). On the Robust PCA and Weiszfeld’s Algorithm, Applied Mathematics and Optimization, 82:3, (1017-1048), Online publication date: 1-Dec-2020.
  11. Jammal M, Canu S and Abdallah M Regularized Robust and Sparse Linear Modeling Using Discrete Optimization Machine Learning, Optimization, and Data Science, (645-661)
  12. Bian J, Lin W, Liu Y, Zhang L, Yeung S, Cheng M and Reid I (2019). GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence, International Journal of Computer Vision, 128:6, (1580-1593), Online publication date: 1-Jun-2020.
  13. Hu W, Gao J, Li B, Wu O, Du J and Maybank S (2020). Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression, IEEE Transactions on Knowledge and Data Engineering, 32:2, (218-233), Online publication date: 1-Feb-2020.
  14. Yu Y, He H, Chen B, Li J, Zhang Y and Lu L (2019). M-Estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements, IEEE/ACM Transactions on Audio, Speech and Language Processing, 28, (225-239), Online publication date: 1-Jan-2020.
  15. ACM
    Pastor A, Pärssinen M, Callejo P, Vallina P, Cuevas R, Cuevas Á, Kotila M and Azcorra A Nameles: An intelligent system for Real-Time Filtering of Invalid Ad Traffic The World Wide Web Conference, (1454-1464)
  16. Liu T, Pong T and Takeda A (2019). A refined convergence analysis of $$\hbox {pDCA}_{e}$$pDCAe with applications to simultaneous sparse recovery and outlier detection, Computational Optimization and Applications, 73:1, (69-100), Online publication date: 1-May-2019.
  17. ACM
    Yang X, Zhou W, Shu N and Zhang H A Fast and Efficient Local Outlier Detection in Data Streams Proceedings of the 2019 International Conference on Image, Video and Signal Processing, (111-116)
  18. Ahmed M (2019). Data summarization, Knowledge and Information Systems, 58:2, (249-273), Online publication date: 1-Feb-2019.
  19. Diakonikolas I, Kong W and Stewart A Efficient algorithms and lower bounds for robust linear regression Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, (2745-2754)
  20. Park C, Chang J and Kwon S (2019). Robust Shrinkage Range Estimation Algorithms Based on Hampel and Skipped Filters, Wireless Communications & Mobile Computing, 2019, Online publication date: 1-Jan-2019.
  21. Gao M, Li Y, Dobre O and Al-Dhahir N (2019). Joint Blind Identification of the Number of Transmit Antennas and MIMO Schemes Using Gerschgorin Radii and FNN, IEEE Transactions on Wireless Communications, 18:1, (373-387), Online publication date: 1-Jan-2019.
  22. Rahman F, Aghapour E and Farrell J Outlier Accommodation By Risk-Averse Performance-Specified Nonlinear State Estimation: GNSS Aided INS 2018 IEEE Conference on Decision and Control (CDC), (5922-5927)
  23. Zhang L and Zhou Z ℓ1-regression with heavy-tailed distributions Proceedings of the 32nd International Conference on Neural Information Processing Systems, (1084-1094)
  24. Chen L, Su C and Hsiao H (2018). Player trajectory reconstruction for tactical analysis, Multimedia Tools and Applications, 77:23, (30475-30486), Online publication date: 1-Dec-2018.
  25. Chen L, Su C and Hsiao H (2018). Player trajectory reconstruction for tactical analysis, Multimedia Tools and Applications, 77:23, (30475-30486), Online publication date: 1-Dec-2018.
  26. El Belghiti Alaoui N, Boyer A, Tounsi P and Viard A (2018). Upgrading In-Circuit Test of High Density PCBAs Using Electromagnetic Measurement and Principal Component Analysis, Journal of Electronic Testing: Theory and Applications, 34:6, (749-762), Online publication date: 1-Dec-2018.
  27. Karadede Y and Özdemir G (2018). A hierarchical soft computing model for parameter estimation of curve fitting problems, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 22:20, (6937-6964), Online publication date: 1-Oct-2018.
  28. ACM
    Islam A, Luboschik M, Jirka A and Staadt O gSMOOTH Proceedings of Computer Graphics International 2018, (175-184)
  29. Hubert M, Debruyne M and Rousseeuw P (2017). Minimum covariance determinant and extensions, WIREs Computational Statistics, 10:3, Online publication date: 15-Apr-2018.
  30. Miranda F, Lins L, Klosowski J and Silva C (2018). TopKube, IEEE Transactions on Visualization and Computer Graphics, 24:3, (1394-1407), Online publication date: 1-Mar-2018.
  31. Ayadi A, Ghorbel O, Obeid A and Abid M (2017). Outlier detection approaches for wireless sensor networks, Computer Networks: The International Journal of Computer and Telecommunications Networking, 129:P1, (319-333), Online publication date: 24-Dec-2017.
  32. Mariet Z and Sra S Elementary symmetric polynomials for optimal experimental design Proceedings of the 31st International Conference on Neural Information Processing Systems, (2136-2145)
  33. Bhatia K, Jain P, Kamalaruban P and Kar P Consistent robust regression Proceedings of the 31st International Conference on Neural Information Processing Systems, (2107-2116)
  34. Sublime J, Matei B, Cabanes G, Grozavu N, Bennani Y and Cornujols A (2017). Entropy based probabilistic collaborative clustering, Pattern Recognition, 72:C, (144-157), Online publication date: 1-Dec-2017.
  35. Koch I, Veronez M, da Silva R, Klein I, Matsuoka M, Gonzaga L and Larocca A (2017). Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks, Expert Systems with Applications: An International Journal, 88:C, (230-237), Online publication date: 1-Dec-2017.
  36. ACM
    Xu Q, Yan M, Huang C, Xiong J, Huang Q and Yao Y Exploring Outliers in Crowdsourced Ranking for QoE Proceedings of the 25th ACM international conference on Multimedia, (1540-1548)
  37. Goryainova E and Botvinkin E (2017). Experimental and analytic comparison of the accuracy of different estimates of parameters in a linear regression model, Automation and Remote Control, 78:10, (1819-1836), Online publication date: 1-Oct-2017.
  38. Hubert M, Rousseeuw P and Segaert P (2017). Multivariate and functional classification using depth and distance, Advances in Data Analysis and Classification, 11:3, (445-466), Online publication date: 1-Sep-2017.
  39. Papageorgiou G, Bouboulis P and Theodoridis S (2017). Robust Nonlinear Regression: A Greedy Approach Employing Kernels With Application to Image Denoising, IEEE Transactions on Signal Processing, 65:16, (4309-4323), Online publication date: 15-Aug-2017.
  40. Garca-Escudero L, Mayo-Iscar A and Snchez-Gutirrez C (2017). Fitting parabolas in noisy images, Computational Statistics & Data Analysis, 112:C, (80-87), Online publication date: 1-Aug-2017.
  41. Forero P, Shafer S and Harguess J (2017). Sparsity-Driven Laplacian-Regularized Outlier Identification for Dictionary Learning, IEEE Transactions on Signal Processing, 65:14, (3803-3817), Online publication date: 15-Jul-2017.
  42. Solaro N, Barbiero A, Manzi G and Ferrari P (2017). A sequential distance-based approach for imputing missing data, Advances in Data Analysis and Classification, 11:2, (395-414), Online publication date: 1-Jun-2017.
  43. Colmant M, Felber P, Rouvoy R and Seinturier L WattsKit Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, (514-523)
  44. O'keefe C, Ayre T, Lucie S, Khan A, Song S and Kwon S (2017). Perturbed robust linear estimating equations for confidentiality protection in remote analysis, Statistics and Computing, 27:3, (775-787), Online publication date: 1-May-2017.
  45. Xu Y and Yuan J (2017). Anisotropic diffusion equation with a new diffusion coefficient for image denoising, Pattern Analysis & Applications, 20:2, (579-586), Online publication date: 1-May-2017.
  46. De Carvalho F, Lima Neto E and Ferreira M (2017). A robust regression method based on exponential-type kernel functions, Neurocomputing, 234:C, (58-74), Online publication date: 19-Apr-2017.
  47. Banerjee S, Bhattacharyya S and Bose I (2017). Whose online reviews to trust? Understanding reviewer trustworthiness and its impact on business, Decision Support Systems, 96:C, (17-26), Online publication date: 1-Apr-2017.
  48. De Smet Y, Hubinont J and Rosenfeld J A Note on the Detection of Outliers in a Binary Outranking Relation 9th International Conference on Evolutionary Multi-Criterion Optimization - Volume 10173, (151-159)
  49. Bergström P and Edlund O (2017). Robust registration of surfaces using a refined iterative closest point algorithm with a trust region approach, Numerical Algorithms, 74:3, (755-779), Online publication date: 1-Mar-2017.
  50. Yang H, Pan Z, Tao Q and Gutierrez P (2017). Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory, Computational Intelligence and Neuroscience, 2017, Online publication date: 1-Jan-2017.
  51. Ding C and Qi H (2017). Convex Euclidean distance embedding for collaborative position localization with NLOS mitigation, Computational Optimization and Applications, 66:1, (187-218), Online publication date: 1-Jan-2017.
  52. Atkinson A, Riani M and Torti F (2016). Robust methods for heteroskedastic regression, Computational Statistics & Data Analysis, 104:C, (209-222), Online publication date: 1-Dec-2016.
  53. ACM
    Wu C, Bradley D, Garrido P, Zollhöfer M, Theobalt C, Gross M and Beeler T (2016). Model-based teeth reconstruction, ACM Transactions on Graphics, 35:6, (1-13), Online publication date: 11-Nov-2016.
  54. Wang D, Lu H and Yang M (2016). Robust Visual Tracking via Least Soft-Threshold Squares, IEEE Transactions on Circuits and Systems for Video Technology, 26:9, (1709-1721), Online publication date: 1-Sep-2016.
  55. Boudine B, Kramm S, Akkad N, Bensrhair A, Saaidi A and Satori K (2016). A flexible technique based on fundamental matrix for camera self-calibration with variable intrinsic parameters from two views, Journal of Visual Communication and Image Representation, 39:C, (40-50), Online publication date: 1-Aug-2016.
  56. Augustin M, Haxhimusa Y, Busch W and Kropatsch W (2016). A framework for the extraction of quantitative traits from 2D images of mature Arabidopsis thaliana, Machine Vision and Applications, 27:5, (647-661), Online publication date: 1-Jul-2016.
  57. ACM
    Das S, Li F, Narasayya V and König A Automated Demand-driven Resource Scaling in Relational Database-as-a-Service Proceedings of the 2016 International Conference on Management of Data, (1923-1934)
  58. ACM
    Liu J and Wu Z (2015). Rule-Based Generation of Ancient Chinese Architecture from the Song Dynasty, Journal on Computing and Cultural Heritage , 9:2, (1-22), Online publication date: 20-May-2016.
  59. Roozbeh M (2016). Robust ridge estimator in restricted semiparametric regression models, Journal of Multivariate Analysis, 147:C, (127-144), Online publication date: 1-May-2016.
  60. Bottegal G, Aravkin A, Hjalmarsson H and Pillonetto G (2016). Robust EM kernel-based methods for linear system identification, Automatica (Journal of IFAC), 67:C, (114-126), Online publication date: 1-May-2016.
  61. Qian G, Wu Y, Ferrari D, Qiao P and Hollande F (2016). Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications, Computational Intelligence and Neuroscience, 2016, Online publication date: 1-Apr-2016.
  62. Chang S, Zhu H, Zhang W, Lu L and Zhu Y (2016). PURE: Blind Regression Modeling for Low Quality Data with Participatory Sensing, IEEE Transactions on Parallel and Distributed Systems, 27:4, (1199-1211), Online publication date: 1-Apr-2016.
  63. Zhu S, Zhou Q and Gao R (2016). A novel snake model using new multi-step decision model for complex image segmentation, Computers and Electrical Engineering, 51:C, (58-73), Online publication date: 1-Apr-2016.
  64. Choi H, Sibbing D and Kobbelt L (2016). Nonparametric facial feature localization using segment-based eigenfeatures, Computational Intelligence and Neuroscience, 2016, (34-34), Online publication date: 1-Jan-2016.
  65. Hachmi F and Limam M An Improved Intrusion Detection System Based on a Two Stage Alarm Correlation to Identify Outliers and False Alerts Proceedings of the Third International Conference on Mining Intelligence and Knowledge Exploration - Volume 9468, (130-139)
  66. Hachmi F, Boujenfa K and Limam M (2015). An optimization process to identify outliers generated by intrusion detection systems, Security and Communication Networks, 8:18, (3469-3480), Online publication date: 1-Dec-2015.
  67. Papageorgiou G, Bouboulis P and Theodoridis S (2015). Robust Linear Regression Analysis— A Greedy Approach, IEEE Transactions on Signal Processing, 63:15, (3872-3887), Online publication date: 1-Aug-2015.
  68. Jackowski K (2015). Adaptive Splitting and Selection Algorithm for Regression, New Generation Computing, 33:4, (425-448), Online publication date: 1-Jul-2015.
  69. Park C, Lee S and Chang J (2015). Robust closed-form time-of-arrival source localization based on α-trimmed mean and Hodges-Lehmann estimator under NLOS environments, Signal Processing, 111:C, (113-123), Online publication date: 1-Jun-2015.
  70. Radovanovic M, Nanopoulos A and Ivanovic M (2015). Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection, IEEE Transactions on Knowledge and Data Engineering, 27:5, (1369-1382), Online publication date: 1-May-2015.
  71. Lerman G, Mccoy M, Tropp J and Zhang T (2015). Robust Computation of Linear Models by Convex Relaxation, Foundations of Computational Mathematics, 15:2, (363-410), Online publication date: 1-Apr-2015.
  72. Maronna R and Yohai V (2015). High finite-sample efficiency and robustness based on distance-constrained maximum likelihood, Computational Statistics & Data Analysis, 83:C, (262-274), Online publication date: 1-Mar-2015.
  73. Tamburello P and Mili L (2015). New Robust Estimators of Correlation and Weighted Basis Pursuit, IEEE Transactions on Signal Processing, 63:4, (882-894), Online publication date: 1-Feb-2015.
  74. Chenouri S, Liang J and Small C (2015). Robust dimension reduction, WIREs Computational Statistics, 7:1, (63-69), Online publication date: 1-Jan-2015.
  75. Xu W, Bai E and Cho M (2014). System identification in the presence of outliers and random noises, Automatica (Journal of IFAC), 50:11, (2905-2911), Online publication date: 1-Nov-2014.
  76. ACM
    Sánchez P, Müller E, Irmler O and Böhm K Local context selection for outlier ranking in graphs with multiple numeric node attributes Proceedings of the 26th International Conference on Scientific and Statistical Database Management, (1-12)
  77. ACM
    Ding H and Xu J Sub-linear Time Hybrid Approximations for Least Trimmed Squares Estimator and Related Problems Proceedings of the thirtieth annual symposium on Computational geometry, (110-119)
  78. Yao W, Wei Y and Yu C (2014). Robust mixture regression using the t -distribution, Computational Statistics & Data Analysis, 71:C, (116-127), Online publication date: 1-Mar-2014.
  79. Taylan P, Yerlikaya-Özkurt F and Weber G (2014). An approach to the mean shift outlier model by Tikhonov regularization and conic programming, Intelligent Data Analysis, 18:1, (79-94), Online publication date: 1-Jan-2014.
  80. Vakili K and Schmitt E (2014). Finding multivariate outliers with FastPCS, Computational Statistics & Data Analysis, 69, (54-66), Online publication date: 1-Jan-2014.
  81. Ravizza S, Chen J, Atkin J, Stewart P and Burke E (2014). Aircraft taxi time prediction, Applied Soft Computing, 14, (397-406), Online publication date: 1-Jan-2014.
  82. Liu X and Zuo Y (2014). Computing projection depth and its associated estimators, Statistics and Computing, 24:1, (51-63), Online publication date: 1-Jan-2014.
  83. ACM
    Keller F, Müller E, Wixler A and Böhm K Flexible and adaptive subspace search for outlier analysis Proceedings of the 22nd ACM international conference on Information & Knowledge Management, (1381-1390)
  84. Jau Y, Su K, Wu C and Jeng J (2013). Modified quantum-behaved particle swarm optimization for parameters estimation of generalized nonlinear multi-regressions model based on Choquet integral with outliers, Applied Mathematics and Computation, 221:C, (282-295), Online publication date: 15-Sep-2013.
  85. Kirschstein T, Liebscher S and Becker C (2013). Robust estimation of location and scatter by pruning the minimum spanning tree, Journal of Multivariate Analysis, 120, (173-184), Online publication date: 1-Sep-2013.
  86. Cammarota R, Beni L, Nicolau A and Veidenbaum A Optimizing Program Performance via Similarity, Using a Feature-Agnostic Approach Revised Selected Papers of the 10th International Symposium on Advanced Parallel Processing Technologies - Volume 8299, (199-213)
  87. Cateni S, Colla V and Nastasi G (2013). A multivariate fuzzy system applied for outliers detection, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 24:4, (889-903), Online publication date: 1-Jul-2013.
  88. Reinertsen I, Jakola A, Solheim O, Lindseth F and Unsgård G Model-guided placement of cerebral ventricular catheters Proceedings of the 4th international conference on Information Processing in Computer-Assisted Interventions, (30-39)
  89. ACM
    Tan R, Xing G, Yuan Z, Liu X and Yao J (2013). System-level calibration for data fusion in wireless sensor networks, ACM Transactions on Sensor Networks, 9:3, (1-27), Online publication date: 1-May-2013.
  90. PrešEren P and Stopar B (2013). Wavelet Neural Network employment for continuous GNSS orbit function construction, Applied Soft Computing, 13:5, (2526-2536), Online publication date: 1-May-2013.
  91. Cammarota R, Nicolau A, Veidenbaum A, Kejariwal A, Donato D and Madhugiri M On the determination of inlining vectors for program optimization Proceedings of the 22nd international conference on Compiler Construction, (164-183)
  92. Guerrero J, Guijarro M, Montalvo M, Romeo J, Emmi L, Ribeiro A and Pajares G (2013). Automatic expert system based on images for accuracy crop row detection in maize fields, Expert Systems with Applications: An International Journal, 40:2, (656-664), Online publication date: 1-Feb-2013.
  93. Pitselis G (2013). A review on robust estimators applied to regression credibility, Journal of Computational and Applied Mathematics, 239, (231-249), Online publication date: 1-Feb-2013.
  94. ACM
    Arikan M, Schwärzler M, Flöry S, Wimmer M and Maierhofer S (2013). O-snap, ACM Transactions on Graphics, 32:1, (1-15), Online publication date: 1-Jan-2013.
  95. Aquaro M and Čížek P (2013). One-step robust estimation of fixed-effects panel data models, Computational Statistics & Data Analysis, 57:1, (536-548), Online publication date: 1-Jan-2013.
  96. Tang X and Feng G Weighted group sparse representation based on robust regression for face recognition Proceedings of the 7th Chinese conference on Biometric Recognition, (42-49)
  97. Fujiki J, Akaho S, Hino H and Murata N Robust hypersurface fitting based on random sampling approximations Proceedings of the 19th international conference on Neural Information Processing - Volume Part III, (520-527)
  98. Zhang M and Drew M Robust luminance and chromaticity for matte regression in polynomial texture mapping Proceedings of the 12th international conference on Computer Vision - Volume 2, (360-369)
  99. KöRner M, Martini H and SchöBel A (2012). Minsum hyperspheres in normed spaces, Discrete Applied Mathematics, 160:15, (2221-2233), Online publication date: 1-Oct-2012.
  100. Liu Y, Foteinos P, Chernikov A and Chrisochoides N (2012). Mesh deformation-based multi-tissue mesh generation for brain images, Engineering with Computers, 28:4, (305-318), Online publication date: 1-Oct-2012.
  101. Xing H and Chen X Selective ensemble of support vector data descriptions for novelty detection Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I, (468-477)
  102. ACM
    Liu F, Ting K and Zhou Z (2012). Isolation-Based Anomaly Detection, ACM Transactions on Knowledge Discovery from Data, 6:1, (1-39), Online publication date: 1-Mar-2012.
  103. De Waal T, Pannekoek J and Scholtus S (2012). The editing of statistical data, WIREs Computational Statistics, 4:2, (204-210), Online publication date: 7-Feb-2012.
  104. Feldman D and Schulman L Data reduction for weighted and outlier-resistant clustering Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete algorithms, (1343-1354)
  105. ACM
    Chitradevi N, Baskaran K, Palanisamy V and Aswini D Designing an efficient PCA based data model for wireless sensor networks Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief, (147-154)
  106. Domínguez Mayorga C, Espejel Rivera M, Ramos Velasco L, Ramos Fernández J and Escamilla Hernández E Wavelet neural network algorithms with applications in approximation signals Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II, (374-385)
  107. ACM
    León O, Hernández-Serrano J and Soriano M Robust detection of primary user emulation attacks in IEEE 802.22 networks Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, (1-5)
  108. Midi H, Mustafa M and Fitrianto A A robust optimum response surface methodology based on MM-estimator Proceedings of the 11th WSEAS international conference on Applied computer science, (166-171)
  109. Yang M, Liu Y and You Z (2011). Estimating the fundamental matrix based on least absolute deviation, Neurocomputing, 74:17, (3638-3645), Online publication date: 1-Oct-2011.
  110. Wang F, Cao H and Qian X Decimal-Integer-Coded genetic algorithm for trimmed estimator of the multiple linear errors in variables model Proceedings of the Second international conference on Information Computing and Applications, (359-366)
  111. Fujiki J, Akaho S, Hino H and Murata N Robust hyperplane fitting based on k-th power deviation and α-quantile Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I, (278-285)
  112. Thang N, Chen L and Chan C (2011). Robust mixture model-based clustering with genetic algorithm approach, Intelligent Data Analysis, 15:3, (357-373), Online publication date: 1-Aug-2011.
  113. Schwab A, Abrahamson E, Starbuck W and Fidler F (2011). PERSPECTIVE---Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests, Organization Science, 22:4, (1105-1120), Online publication date: 1-Jul-2011.
  114. Bhattacharya A and De R A methodology for handling a new kind of outliers present in gene expression patterns Proceedings of the 4th international conference on Pattern recognition and machine intelligence, (394-399)
  115. Fleck D and Duric Z Using grid based feature localization for fast image matching Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I, (221-231)
  116. Karim R, Arujuna A, Brazier A, Gill J, Rinaldi C, O'Neill M, Razavi R, Schaeffter T, Rueckert D and Rhode K Automatic segmentation of left atrial scar from delayed-enhancement magnetic resonance imaging Proceedings of the 6th international conference on Functional imaging and modeling of the heart, (63-70)
  117. Karim R, Arujuna A, Brazier A, Gill J, Rinaldi C, O'Neill M, Razavi R, Schaeffter T, Rueckert D and Rhode K Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging Proceedings of the 6th International Conference on Functional Imaging and Modeling of the Heart - Volume 6666, (63-70)
  118. Gao J, Hu W, Zhang Z, Zhang X and Wu O RKOF Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II, (270-283)
  119. Morgenthaler S (2011). Robustness, WIREs Computational Statistics, 3:2, (85-94), Online publication date: 1-Mar-2011.
  120. Yu Y, Yang M, Xu L, White M and Schuurmans D Relaxed clipping Proceedings of the 23rd International Conference on Neural Information Processing Systems - Volume 2, (2532-2540)
  121. Bartkowiak A (2010). Outliers in biometrical data: What's old, What's new, International Journal of Biometrics, 2:1, (2-18), Online publication date: 1-Dec-2010.
  122. Chen Y, Miao D and Zhang H (2010). Neighborhood outlier detection, Expert Systems with Applications: An International Journal, 37:12, (8745-8749), Online publication date: 1-Dec-2010.
  123. Ermis E, Clarot P, Jodoin P and Saligrama V (2010). Activity based matching in distributed camera networks, IEEE Transactions on Image Processing, 19:10, (2595-2613), Online publication date: 1-Oct-2010.
  124. Cheng Q (2010). A Sparse Learning Machine for High-Dimensional Data with Application to Microarray Gene Analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 7:4, (636-646), Online publication date: 1-Oct-2010.
  125. Laporte C and Arbel T Measurement selection in untracked freehand 3D ultrasound Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I, (127-134)
  126. Karnik V, Fenster A, Bax J, Gardi L, Gyacskov I, Montreuil J, Romagnoli C and Ward A Evaluation of inter-session 3D-TRUS to 3D-TRUS image registration for repeat prostate biopsies Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II, (17-25)
  127. Shao J, Böhm C, Yang Q and Plant C Synchronization based outlier detection Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III, (245-260)
  128. Shao J, Böhm C, Yang Q and Plant C Synchronization based outlier detection Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III, (245-260)
  129. Shao J, Böhm C, Yang Q and Plant C Synchronization based outlier detection Proceedings of the 2010th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III, (245-260)
  130. Chin T, Yu J and Suter D Accelerated hypothesis generation for multi-structure robust fitting Proceedings of the 11th European conference on Computer vision: Part V, (533-546)
  131. ACM
    Thacker W, Zhang J, Watson L, Birch J, Iyer M and Berry M (2010). Algorithm 905, ACM Transactions on Mathematical Software, 37:3, (1-20), Online publication date: 1-Sep-2010.
  132. Singh H, Desai A and Pudi V PAGER Proceedings of the 21st international conference on Database and expert systems applications: Part II, (168-176)
  133. Archetti F, Giordani I and Vanneschi L (2010). Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset, Computers and Operations Research, 37:8, (1395-1405), Online publication date: 1-Aug-2010.
  134. Friedler S and Mount D (2010). Approximation algorithm for the kinetic robust K-center problem, Computational Geometry: Theory and Applications, 43:6-7, (572-586), Online publication date: 1-Aug-2010.
  135. Scherer-Negenborn N and Schaefer R (2010). Model Fitting with Sufficient Random Sample Coverage, International Journal of Computer Vision, 89:1, (120-128), Online publication date: 1-Aug-2010.
  136. Li X and Hu Z (2010). Rejecting Mismatches by Correspondence Function, International Journal of Computer Vision, 89:1, (1-17), Online publication date: 1-Aug-2010.
  137. Chakhchoukh Y (2010). A new robust estimation method for ARMA models, IEEE Transactions on Signal Processing, 58:7, (3512-3522), Online publication date: 1-Jul-2010.
  138. Verboven S and Hubert M (2010). MATLAB library LIBRA, WIREs Computational Statistics, 2:4, (509-515), Online publication date: 1-Jul-2010.
  139. ACM
    Nelson J and Woodruff D Fast Manhattan sketches in data streams Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, (99-110)
  140. Al-Zoubi M, Al-Dahoud A and Yahya A (2010). New outlier detection method based on fuzzy clustering, WSEAS Transactions on Information Science and Applications, 7:5, (681-690), Online publication date: 1-May-2010.
  141. Picard J and Weiss A (2010). Bounds on the number of identifiable outliers in source localization by linear programming, IEEE Transactions on Signal Processing, 58:5, (2884-2895), Online publication date: 1-May-2010.
  142. Gandhi M and Mili L (2010). Robust Kalman filter based on a generalized maximum-likelihood-type estimator, IEEE Transactions on Signal Processing, 58:5, (2509-2520), Online publication date: 1-May-2010.
  143. Li B, Schnabel R, Klein R, Cheng Z, Dang G and Jin S (2010). Technical Section, Computers and Graphics, 34:2, (94-106), Online publication date: 1-Apr-2010.
  144. Quan T, Liu X and Liu Q (2010). Weighted least squares support vector machine local region method for nonlinear time series prediction, Applied Soft Computing, 10:2, (562-566), Online publication date: 1-Mar-2010.
  145. Koufakou A and Georgiopoulos M (2010). A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes, Data Mining and Knowledge Discovery, 20:2, (259-289), Online publication date: 1-Mar-2010.
  146. Yager R and Beliakov G (2010). OWA operators in regression problems, IEEE Transactions on Fuzzy Systems, 18:1, (106-113), Online publication date: 1-Feb-2010.
  147. Kim W, Lee J, Kim M, Oh D and Kim C (2010). Human action recognition using ordinal measure of accumulated motion, EURASIP Journal on Advances in Signal Processing, 2010, (1-10), Online publication date: 1-Feb-2010.
  148. Hubert M and Debruyne M (2009). Minimum covariance determinant, WIREs Computational Statistics, 2:1, (36-43), Online publication date: 19-Jan-2010.
  149. Kramer O (2010). Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines, Fundamenta Informaticae, 98:1, (87-106), Online publication date: 1-Jan-2010.
  150. Archetti F, Giordani I and Vanneschi L (2010). Genetic programming for QSAR investigation of docking energy, Applied Soft Computing, 10:1, (170-182), Online publication date: 1-Jan-2010.
  151. Thang N, Lihui C and Keong C An outlier-aware data clustering algorithm in mixture models Proceedings of the 7th international conference on Information, communications and signal processing, (789-793)
  152. Xu H, Caramanis C and Mannor S (2009). Robustness and Regularization of Support Vector Machines, The Journal of Machine Learning Research, 10, (1485-1510), Online publication date: 1-Dec-2009.
  153. Howington E and Gray J (2009). Matrix-based genetic algorithm for computing the minimum volume ellipsoid, IEEE Transactions on Evolutionary Computation, 13:6, (1247-1260), Online publication date: 1-Dec-2009.
  154. Lin C, Wang J, Chen C, Chen C and Yen C (2009). Improving the generalization performance of RBF neural networks using a linear regression technique, Expert Systems with Applications: An International Journal, 36:10, (12049-12053), Online publication date: 1-Dec-2009.
  155. Hubert M and Debruyne M (2009). Breakdown value, WIREs Computational Statistics, 1:3, (296-302), Online publication date: 1-Dec-2009.
  156. Almeida J, Minetto R, Almeida T, S. Torres R and Leite N Robust Estimation of Camera Motion Using Optical Flow Models Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I, (435-446)
  157. Peng H and Rao R Hyperspectral image enhancement with vector bilateral filtering Proceedings of the 16th IEEE international conference on Image processing, (3669-3672)
  158. Zhao F, Wang H, Chai X and Ge S A fast and effective outlier detection method for matching uncalibrated images Proceedings of the 16th IEEE international conference on Image processing, (2073-2076)
  159. Yu J, Kulkarni S and Poor H Robust fitting of ellipses and spheroids Proceedings of the 43rd Asilomar conference on Signals, systems and computers, (94-98)
  160. Andriani P and McKelvey B (2009). Perspective---From Gaussian to Paretian Thinking, Organization Science, 20:6, (1053-1071), Online publication date: 1-Nov-2009.
  161. Dufrenois F, Colliez J and Hamad D (2009). Bounded influence support vector regression for robust single-model estimation, IEEE Transactions on Neural Networks, 20:11, (1689-1706), Online publication date: 1-Nov-2009.
  162. Bouveyron C and Girard S (2009). Robust supervised classification with mixture models, Pattern Recognition, 42:11, (2649-2658), Online publication date: 1-Nov-2009.
  163. Zhou H, Green P and Wallace A (2009). Estimation of epipolar geometry by linear mixed-effect modelling, Neurocomputing, 72:16-18, (3881-3890), Online publication date: 1-Oct-2009.
  164. Hawkins D and Khan D (2009). A procedure for robust fitting in nonlinear regression, Computational Statistics & Data Analysis, 53:12, (4500-4507), Online publication date: 1-Oct-2009.
  165. Trinh H, Kim D, Kang S and Jo K Window extraction using geometrical characteristics of building surface Proceedings of the 5th international conference on Emerging intelligent computing technology and applications, (585-594)
  166. Quoc N and Choi W A framework for recognition books on bookshelves Proceedings of the 5th international conference on Emerging intelligent computing technology and applications, (386-395)
  167. Nhan N and Koo I A secure distributed spectrum sensing scheme in cognitive radio Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications, (698-707)
  168. Cerioli A, Riani M and Atkinson A (2009). Controlling the size of multivariate outlier tests with the MCD estimator of scatter, Statistics and Computing, 19:3, (341-353), Online publication date: 1-Sep-2009.
  169. ACM
    Han C, Ryu Y and Oh C A study on enhanced algorithms for detecting defects of glasses Proceedings of the 2009 International Conference on Hybrid Information Technology, (521-524)
  170. Pelckmans K, De Brabanter J, Suykens J and De Moor B (2009). Least conservative support and tolerance tubes, IEEE Transactions on Information Theory, 55:8, (3799-3806), Online publication date: 1-Aug-2009.
  171. Fernández-Menéndez J, López-Sánchez J, Rodríguez-Duarte A and Sandulli F (2009). Technical efficiency and use of information and communication technology in Spanish firms, Telecommunications Policy, 33:7, (348-359), Online publication date: 1-Aug-2009.
  172. Lamiroy B and Guebbas Y Robust and precise circular arc detection Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution, (49-60)
  173. Van Aelst S and Rousseeuw P (2009). Minimum volume ellipsoid, WIREs Computational Statistics, 1:1, (71-82), Online publication date: 13-Jul-2009.
  174. Carasso D, Vizel E and Zeevi Y Blind source separation using mixtures scatter plot properties Proceedings of the 16th international conference on Digital Signal Processing, (288-293)
  175. Palit A, Sengupta B and Ali C A robust technique for motion correction in fMRI Proceedings of the 16th international conference on Digital Signal Processing, (189-194)
  176. Midi H, Rana M and Imon A (2009). The performance of robust weighted least squares in the presence of outliers and heteroscedastic errors, WSEAS Transactions on Mathematics, 8:7, (351-361), Online publication date: 1-Jul-2009.
  177. ACM
    Chandola V, Banerjee A and Kumar V (2009). Anomaly detection, ACM Computing Surveys, 41:3, (1-58), Online publication date: 1-Jul-2009.
  178. Cheng C and Lai S (2009). A consensus sampling technique for fast and robust model fitting, Pattern Recognition, 42:7, (1318-1329), Online publication date: 1-Jul-2009.
  179. Chuang C, Jeng J and Tao C (2009). Hybrid robust approach for TSK fuzzy modeling with outliers, Expert Systems with Applications: An International Journal, 36:5, (8925-8931), Online publication date: 1-Jul-2009.
  180. ACM
    Law Y, Chatterjea S, Jin J, Hanselmann T and Palaniswami M Energy-efficient data acquisition by adaptive sampling for wireless sensor networks Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, (1146-1151)
  181. Arias-de-Reyna E and Mengali U Mapping techniques for UWB positioning Proceedings of the 2009 IEEE international conference on Communications, (4229-4233)
  182. ACM
    Wang Z, Chen Z and Chen H A novel robust background modeling algorithm for complex natural scenes Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, (565-570)
  183. Uhlig D, Kiyavash N and Neogi N Distributed triangulation in the presence faulty and byzantine beacons in aircraft networks with ADS-B technology Proceedings of the 2009 conference on American Control Conference, (4956-4961)
  184. ACM
    Morasca S Building statistically significant robust regression models in empirical software engineering Proceedings of the 5th International Conference on Predictor Models in Software Engineering, (1-10)
  185. Thanh T, Nagahara H, Sagawa R, Mukaigawa Y, Yachida M and Yagi Y An adaptive-scale robust estimator for motion estimation Proceedings of the 2009 IEEE international conference on Robotics and Automation, (1673-1678)
  186. Sugiyama M, Hachiya H, Kashima H and Morimura T Least absolute policy iteration for robust value function approximation Proceedings of the 2009 IEEE international conference on Robotics and Automation, (699-704)
  187. DeMiguel V and Nogales F (2009). Portfolio Selection with Robust Estimation, Operations Research, 57:3, (560-577), Online publication date: 1-May-2009.
  188. Doré V and Cheriet M (2009). Robust NL-means filter with optimal pixel-wise smoothing parameter for statistical image denoising, IEEE Transactions on Signal Processing, 57:5, (1703-1716), Online publication date: 1-May-2009.
  189. Pan Y, Ge S and Al Mamun A (2009). Weighted locally linear embedding for dimension reduction, Pattern Recognition, 42:5, (798-811), Online publication date: 1-May-2009.
  190. Stefatos G and Ben Hamza A (2009). Fault detection using robust multivariate control chart, Expert Systems with Applications: An International Journal, 36:3, (5888-5894), Online publication date: 1-Apr-2009.
  191. Jiang F, Sui Y and Cao C (2009). Some issues about outlier detection in rough set theory, Expert Systems with Applications: An International Journal, 36:3, (4680-4687), Online publication date: 1-Apr-2009.
  192. Vega L, Rey H, Benesty J and Tressens S (2009). A fast robust recursive Least-Squares algorithm, IEEE Transactions on Signal Processing, 57:3, (1209-1216), Online publication date: 1-Mar-2009.
  193. Ruiz A and Granja F (2009). A short-range ship navigation system based on ladar imaging and target tracking for improved safety and efficiency, IEEE Transactions on Intelligent Transportation Systems, 10:1, (186-197), Online publication date: 1-Mar-2009.
  194. Valibeik S and Yang G Segmentation and Tracking for Vision Based Human Robot Interaction Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03, (471-476)
  195. Tharrault Y, Mourot G, Ragot J and Maquin D (2008). Fault Detection and Isolation with Robust Principal Component Analysis, International Journal of Applied Mathematics and Computer Science, 18:4, (429-442), Online publication date: 1-Dec-2008.
  196. Nishiguchi J, Kaseda C, Nakayama H, Arakawa M and Yun Y Practical approach to outlier detection using support vector regression Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I, (995-1001)
  197. Zaharim A, Rajali R and Ibrahim K Using robust outlier detection to identify possible flood events Proceedings of the 7th WSEAS international conference on System science and simulation in engineering, (354-358)
  198. Cormode G, Korn F, Muthukrishnan S and Srivastava D Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors Proceedings of the 20th international conference on Scientific and Statistical Database Management, (42-60)
  199. Malassiotis S and Strintzis M (2008). Real-time hand posture recognition using range data, Image and Vision Computing, 26:7, (1027-1037), Online publication date: 1-Jul-2008.
  200. Liang B and Chung R (2008). Viewpoint determination of image by interpolation over sparse samples, Image and Vision Computing, 26:7, (941-954), Online publication date: 1-Jul-2008.
  201. Pacifici G, Segmuller W, Spreitzer M and Tantawi A (2008). CPU demand for web serving, Performance Evaluation, 65:6-7, (531-553), Online publication date: 1-Jun-2008.
  202. Kook H, Gupta L, Kota S, Molfese D and Lyytinen H (2008). An offline/real-time artifact rejection strategy to improve the classification of multi-channel evoked potentials, Pattern Recognition, 41:6, (1985-1996), Online publication date: 1-Jun-2008.
  203. Ibrahim K, Rajali R and Zaharim A On the detection of outliers for water levels of Langat River Proceedings of the 1st WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering, (119-122)
  204. ACM
    Seo Y, Yoon K and Bae D An empirical analysis of software effort estimation with outlier elimination Proceedings of the 4th international workshop on Predictor models in software engineering, (25-32)
  205. Narita K and Kitagawa H Detecting outliers in categorical record databases based on attribute associations Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development, (111-123)
  206. Kumar M and Orlin J (2008). Scale-invariant clustering with minimum volume ellipsoids, Computers and Operations Research, 35:4, (1017-1029), Online publication date: 1-Apr-2008.
  207. Hu M, McMenemy K, Ferguson S, Dodds G and Yuan B (2008). Epipolar geometry estimation based on evolutionary agents, Pattern Recognition, 41:2, (575-591), Online publication date: 1-Feb-2008.
  208. Ceglar A, Roddick J and Powers D CURIO Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84, (39-47)
  209. Kashima H (2007). Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk, IEICE - Transactions on Information and Systems, E90-D:12, (2043-2052), Online publication date: 1-Dec-2007.
  210. Hoseinnezhad R and Bab-Hadiashar A (2007). Consistency of robust estimators in multi-structural visual data segmentation, Pattern Recognition, 40:12, (3677-3690), Online publication date: 1-Dec-2007.
  211. Matzka S, Petillot Y and Wallace A Determining efficient scan-patterns for 3-D object recognition using spin images Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II, (559-570)
  212. Dornaika F and Sappa A (2007). Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models, Pattern Recognition Letters, 28:15, (2116-2126), Online publication date: 1-Nov-2007.
  213. Yan R and Hauptmann A (2007). A review of text and image retrieval approaches for broadcast news video, Information Retrieval, 10:4-5, (445-484), Online publication date: 1-Oct-2007.
  214. Li X and Han J Mining approximate top-k subspace anomalies in multi-dimensional time-series data Proceedings of the 33rd international conference on Very large data bases, (447-458)
  215. Stache N, Zimmer H, Gedicke J, Olowinsky A and Aach T Robust high-speed melt pool measurements for laser welding with sputter detection capability Proceedings of the 29th DAGM conference on Pattern recognition, (476-485)
  216. ACM
    Baresi L and Morasca S (2007). Three empirical studies on estimating the design effort of Web applications, ACM Transactions on Software Engineering and Methodology, 16:4, (15-es), Online publication date: 1-Sep-2007.
  217. Delmas P, Gimel’farb G, Shorin A and Morris J Robust least-squares image matching in the presence of outliers Proceedings of the 12th international conference on Computer analysis of images and patterns, (776-783)
  218. Gil D, Rodriguez-Leor O, Radeva P and Hernàndez A Assessing artery motion compensation in IVUS Proceedings of the 12th international conference on Computer analysis of images and patterns, (213-220)
  219. ACM
    Schmidt M and Lipson H Learning noise Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1680-1685)
  220. Rusiecki A Robust LTS backpropagation learning algorithm Proceedings of the 9th international work conference on Artificial neural networks, (102-109)
  221. ACM
    Bagchi A, Chaudhary A, Eppstein D and Goodrich M (2007). Deterministic sampling and range counting in geometric data streams, ACM Transactions on Algorithms, 3:2, (16-es), Online publication date: 1-May-2007.
  222. Salvi J, Matabosch C, Fofi D and Forest J (2007). A review of recent range image registration methods with accuracy evaluation, Image and Vision Computing, 25:5, (578-596), Online publication date: 1-May-2007.
  223. ACM
    Tátraiová-Dařílková K Wide baseline stereo correspondences acceleration Proceedings of the 23rd Spring Conference on Computer Graphics, (79-86)
  224. Archetti F, Lanzeni S, Messina E and Vanneschi L Genetic programming and other machine learning approaches to predict median oral Lethal Dose (LD50) and plasma protein binding levels (%PPB) of drugs Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics, (11-23)
  225. Koh J, Lee M, Hsu W and Lam K Correlation-based detection of attribute outliers Proceedings of the 12th international conference on Database systems for advanced applications, (164-175)
  226. Vogler C, Goldenstein S, Stolfi J, Pavlovic V and Metaxas D (2007). Outlier rejection in high-dimensional deformable models, Image and Vision Computing, 25:3, (274-284), Online publication date: 1-Mar-2007.
  227. Sappa A, Dornaika F, Gerónimo D and López A Efficient on-board stereo vision pose estimation Proceedings of the 11th international conference on Computer aided systems theory, (1183-1190)
  228. Sappa A, Herrero R, Dornaika F, Gerónimo D and López A Road approximation in Euclidean and υ-disparity space Proceedings of the 11th international conference on Computer aided systems theory, (1105-1112)
  229. Boukebbab S, Bouchenitfa H, Boughouas H and Linares J (2007). Applied iterative closest point algorithm to automated inspection of gear box tooth, Computers and Industrial Engineering, 52:1, (162-173), Online publication date: 1-Feb-2007.
  230. Theis F, Georgiev P and Cichocki A (2007). Robust sparse component analysis based on a generalized Hough transform, EURASIP Journal on Advances in Signal Processing, 2007:1, (86-86), Online publication date: 1-Jan-2007.
  231. Güneş Koru A and Liu H (2007). Identifying and characterizing change-prone classes in two large-scale open-source products, Journal of Systems and Software, 80:1, (63-73), Online publication date: 1-Jan-2007.
  232. Yang J and Lee I Hybrid O(n √ n) clustering for sequential web usage mining Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence, (1022-1026)
  233. Li Z, Shevlyakov G and Shin V (2006). Robust estimation of a correlation coefficient for ε-contaminated bivariate normal distributions, Automation and Remote Control, 67:12, (1940-1957), Online publication date: 1-Dec-2006.
  234. Xu L, Lee S and Poon W (2006). Deletion measures for generalized linear mixed effects models, Computational Statistics & Data Analysis, 51:2, (1131-1146), Online publication date: 1-Nov-2006.
  235. íek P and Härdle W (2006). Robust estimation of dimension reduction space, Computational Statistics & Data Analysis, 51:2, (545-555), Online publication date: 1-Nov-2006.
  236. Dornaika F and Sappa A 3D face tracking using appearance registration and robust iterative closest point algorithm Proceedings of the 21st international conference on Computer and Information Sciences, (532-541)
  237. Song Z, Tustison N, Avants B and Gee J Integrated graph cuts for brain MRI segmentation Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II, (831-838)
  238. Rüping S Robust probabilistic calibration Proceedings of the 17th European conference on Machine Learning, (743-750)
  239. Sappa A, Gerónimo D, Dornaika F and López A Real time vehicle pose using on-board stereo vision system Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II, (205-216)
  240. Dornaika F and Sappa A Rigid and non-rigid face motion tracking by aligning texture maps and stereo-based 3d models Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems, (675-686)
  241. Le Callennec B and Boulic R Robust kinematic constraint detection for motion data Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation, (281-290)
  242. Kim Y and Kak A (2006). Error Analysis of Robust Optical Flow Estimation by Least Median of Squares Methods for the Varying Illumination Model, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28:9, (1418-1435), Online publication date: 1-Sep-2006.
  243. Dornaika F and Sappa A 3D motion from image derivatives using the least trimmed square regression Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis, (76-84)
  244. Kovacevic I, Kovacevic B and Djurovic Z A convergence theorem for a class of stochastic gradient type algorithms with application to robust system identification Proceedings of the 10th WSEAS international conference on Systems, (602-607)
  245. ACM
    Archetti F, Lanzeni S, Messina E and Vanneschi L Genetic programming for human oral bioavailability of drugs Proceedings of the 8th annual conference on Genetic and evolutionary computation, (255-262)
  246. Chilson J, Ng R, Wagner A and Zamar R (2006). Parallel Computation of High-Dimensional Robust Correlation and Covariance Matrices, Algorithmica, 45:3, (403-431), Online publication date: 1-Jul-2006.
  247. Weng B and Barner K (2006). TR-MUSIC, Signal Processing, 86:7, (1477-1487), Online publication date: 1-Jul-2006.
  248. Brandt S (2006). Maximum Likelihood Robust Regression by Mixture Models, Journal of Mathematical Imaging and Vision, 25:1, (25-48), Online publication date: 1-Jul-2006.
  249. Schindler K and Suter D (2006). Two-View Multibody Structure-and-Motion with Outliers through Model Selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28:6, (983-995), Online publication date: 1-Jun-2006.
  250. Rodríguez D, Cuadrado J, Sicilia M and Ruiz R Segmentation of software engineering datasets using the m5 algorithm Proceedings of the 6th international conference on Computational Science - Volume Part IV, (789-796)
  251. Hajder L and Chetverikov D Robust 3D segmentation of multiple moving objects under weak perspective Proceedings of the 2005/2006 international conference on Dynamical vision, (48-59)
  252. Gather U, Schettlinger K and Fried R (2006). Online signal extraction by robust linear regression, Computational Statistics, 21:1, (33-51), Online publication date: 1-Mar-2006.
  253. Szeliski R (2006). Image alignment and stitching, Foundations and Trends® in Computer Graphics and Vision, 2:1, (1-104), Online publication date: 1-Jan-2006.
  254. Casas R, Marco A, Guerrero J and Falcó J (2006). Robust estimator for non-line-of-sight error mitigation in indoor localization, EURASIP Journal on Advances in Signal Processing, 2006, (156-156), Online publication date: 1-Jan-2006.
  255. Fan Z, Zhou J and Wu Y (2006). Multibody Grouping by Inference of Multiple Subspaces from High-Dimensional Data Using Oriented-Frames, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28:1, (91-105), Online publication date: 1-Jan-2006.
  256. ACM
    Manzo M, Roosta T and Sastry S Time synchronization attacks in sensor networks Proceedings of the 3rd ACM workshop on Security of ad hoc and sensor networks, (107-116)
  257. ACM
    Ukita N, Ono T and Kidode M Region extraction of a gaze object using the gaze point and view image sequences Proceedings of the 7th international conference on Multimodal interfaces, (129-136)
  258. Tordoff B and Murray D (2005). Guided-MLESAC, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27:10, (1523-1535), Online publication date: 1-Oct-2005.
  259. da Silva N and Costeira J Robust global mosaic topology estimation for real-time applications Proceedings of the Second international conference on Image Analysis and Recognition, (1250-1257)
  260. Teng C Dealing with data corruption in remote sensing Proceedings of the 6th international conference on Advances in Intelligent Data Analysis, (452-463)
  261. Nandi A and Klawonn F (2005). Detecting and identifying ambiguities in regression problems, Intelligent Data Analysis, 9:5, (455-472), Online publication date: 1-Sep-2005.
  262. Dehak S, Bloch I and Maitre H (2005). Spatial Reasoning with Incomplete Information on Relative Positioning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27:9, (1473-1484), Online publication date: 1-Sep-2005.
  263. ACM
    Trappe W, Zhang Y and Nath B MIAMI Proceedings of the 2nd international workshop on Data management for sensor networks, (11-17)
  264. He Z, Deng S and Xu X An optimization model for outlier detection in categorical data Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I, (400-409)
  265. ACM
    Fleishman S, Cohen-Or D and Silva C Robust moving least-squares fitting with sharp features ACM SIGGRAPH 2005 Papers, (544-552)
  266. Forsyth D, Arikan O, Ikemoto L, O'Brien J and Ramanan D (2005). Computational studies of human motion, Foundations and Trends® in Computer Graphics and Vision, 1:2-3, (77-254), Online publication date: 1-Jul-2005.
  267. ACM
    Fleishman S, Cohen-Or D and Silva C (2005). Robust moving least-squares fitting with sharp features, ACM Transactions on Graphics, 24:3, (544-552), Online publication date: 1-Jul-2005.
  268. ACM
    Quintana D, Luque C and Isasi P Evolutionary rule-based system for IPO underpricing prediction Proceedings of the 7th annual conference on Genetic and evolutionary computation, (983-989)
  269. Bern M and Goldberg D EigenMS Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology, (357-372)
  270. Bernholt T Computing the least median of squares estimator in time O(n) Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I, (697-706)
  271. Li Z, Trappe W, Zhang Y and Nath B Robust statistical methods for securing wireless localization in sensor networks Proceedings of the 4th international symposium on Information processing in sensor networks, (12-es)
  272. Pernía-Espinoza A, Ordieres-Meré J, Martínez-de-Pisón F and González-Marcos A (2005). TAO-robust backpropagation learning algorithm, Neural Networks, 18:2, (191-204), Online publication date: 1-Mar-2005.
  273. Zhang R, Trad D and Ulrych T (2005). Hybrid, wavelet transform based, noise attenuation, Integrated Computer-Aided Engineering, 12:1, (91-98), Online publication date: 1-Jan-2005.
  274. Wang H and Suter D (2004). Robust Adaptive-Scale Parametric Model Estimation for Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26:11, (1459-1474), Online publication date: 1-Nov-2004.
  275. ACM
    Wagner D Resilient aggregation in sensor networks Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks, (78-87)
  276. ACM
    Pan Z and Ngo C Structuring home video by snippet detection and pattern parsing Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval, (69-76)
  277. Woelk F and Koch R Robust monocular detection of independent motion by a moving observer Proceedings of the 1st international conference on Complex motion, (209-222)
  278. ACM
    Shimamura J and Arakawa K Location-aware projection with robust 3-D viewing point detection and fast image deformation Proceedings of the 12th annual ACM international conference on Multimedia, (296-299)
  279. Hodge V and Austin J (2004). A Survey of Outlier Detection Methodologies, Artificial Intelligence Review, 22:2, (85-126), Online publication date: 1-Oct-2004.
  280. Pollefeys M, Van Gool L, Vergauwen M, Verbiest F, Cornelis K, Tops J and Koch R (2004). Visual Modeling with a Hand-Held Camera, International Journal of Computer Vision, 59:3, (207-232), Online publication date: 21-Sep-2004.
  281. Wang H and Suter D (2004). MDPE, International Journal of Computer Vision, 59:2, (139-166), Online publication date: 1-Sep-2004.
  282. Limas M, Ordieres Meré J, De Pisón Ascacibar F and González E (2004). Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples, Data Mining and Knowledge Discovery, 9:2, (171-187), Online publication date: 1-Sep-2004.
  283. Park D (2004). Robustness Weight by Weighted Median Distance, Computational Statistics, 19:3, (367-383), Online publication date: 1-Sep-2004.
  284. Zhang Z, Liu Z, Adler D, Cohen M, Hanson E and Shan Y (2004). Robust and Rapid Generation of Animated Faces from Video Images, International Journal of Computer Vision, 58:2, (93-119), Online publication date: 1-Jul-2004.
  285. ACM
    Erickson J, Har-Peled S and Mount D On the least median square problem Proceedings of the twentieth annual symposium on Computational geometry, (273-279)
  286. ACM
    Bagchi A, Chaudhary A, Eppstein D and Goodrich M Deterministic sampling and range counting in geometric data streams Proceedings of the twentieth annual symposium on Computational geometry, (144-151)
  287. Georgescu B and Meer P (2004). Point Matching under Large Image Deformations and Illumination Changes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26:6, (674-688), Online publication date: 1-Jun-2004.
  288. Simultaneous Segmentation of Range and Color Images Based on Bayesian Decision Theory Proceedings of the 1st Canadian Conference on Computer and Robot Vision, (58-63)
  289. Kamgar-Parsi B and Kamgar-Parsi B (2004). Algorithms for Matching 3D Line Sets, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26:5, (582-593), Online publication date: 1-May-2004.
  290. Seo J, Hong H, Jho C and Choi M (2004). Two quantitative measures of inlier distributions for precise fundamental matrix estimation, Pattern Recognition Letters, 25:6, (733-741), Online publication date: 19-Apr-2004.
  291. Teng C (2004). Polishing Blemishes, IEEE Intelligent Systems, 19:2, (34-39), Online publication date: 1-Mar-2004.
  292. Estivill-Castro V and Yang J (2004). Fast and Robust General Purpose Clustering Algorithms, Data Mining and Knowledge Discovery, 8:2, (127-150), Online publication date: 1-Mar-2004.
  293. Trendafilov N and Watson G (2004). The ℓ1 oblique procrustes problem, Statistics and Computing, 14:1, (39-51), Online publication date: 1-Jan-2004.
  294. Fekri M and Ruiz-Gazen A (2004). Robust weighted orthogonal regression in the errors-in-variables model, Journal of Multivariate Analysis, 88:1, (89-108), Online publication date: 1-Jan-2004.
  295. Ye M, M. Haralick R and Shapiro L (2003). Estimating Piecewise-Smooth Optical Flow with Global Matching and Graduated Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25:12, (1625-1630), Online publication date: 1-Dec-2003.
  296. Amir A, Kashi R and Netanyahu N Efficient Multidimensional Quantitative Hypotheses Generation Proceedings of the Third IEEE International Conference on Data Mining
  297. ACM
    Zhou X, Collins R, Kanade T and Metes P A master-slave system to acquire biometric imagery of humans at distance First ACM SIGMM international workshop on Video surveillance, (113-120)
  298. ACM
    Zhang Z and Kurtev S Independent motion detection directly from compressed surveillance video First ACM SIGMM international workshop on Video surveillance, (34-47)
  299. Lepetit V, Vacchetti L, Thalmann D and Fua P Fully Automated and Stable Registration for Augmented Reality Applications Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
  300. Chowdhury A and Chellappa R (2003). Stochastic Approximation and Rate-Distortion Analysis for Robust Structure and Motion Estimation, International Journal of Computer Vision, 55:1, (27-53), Online publication date: 1-Oct-2003.
  301. Kollios G, Gunopulos D, Koudas N and Berchtold S (2003). Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets, IEEE Transactions on Knowledge and Data Engineering, 15:5, (1170-1187), Online publication date: 1-Sep-2003.
  302. Jeng J, Chuang C and Su S (2003). Support vector interval regression networks for interval regression analysis, Fuzzy Sets and Systems, 138:2, (283-300), Online publication date: 1-Sep-2003.
  303. Imon R (2003). Simulation of Errors in Linear Regression: An Approach Based on Fixed Percentage Area, Computational Statistics, 18:3-4, (521-531), Online publication date: 1-Sep-2003.
  304. De La Torre F and Black M (2003). A Framework for Robust Subspace Learning, International Journal of Computer Vision, 54:1-3, (117-142), Online publication date: 1-Aug-2003.
  305. Elamir E and Seheult A (2003). Trimmed L-moments, Computational Statistics & Data Analysis, 43:3, (299-314), Online publication date: 28-Jul-2003.
  306. Jolion J Some experiments on clustering a set of strings Proceedings of the 4th IAPR international conference on Graph based representations in pattern recognition, (214-224)
  307. Choukroun A and Charvillat V Bucketing techniques in robust regression for computer vision Proceedings of the 13th Scandinavian conference on Image analysis, (609-616)
  308. Schindler K Generalized use of homographies for piecewise planar reconstruction Proceedings of the 13th Scandinavian conference on Image analysis, (470-476)
  309. ACM
    Germain-Renaud C and Playez N Result checking in global computing systems Proceedings of the 17th annual international conference on Supercomputing, (226-233)
  310. Zhou H, Wallace A and Green P (2003). A multistage filtering technique to detect hazards on the ground plane, Pattern Recognition Letters, 24:9-10, (1453-1461), Online publication date: 1-Jun-2003.
  311. Chang I and Park R (2003). Range image reconstruction based on robust multiresolution estimation of surface parameters, Pattern Recognition Letters, 24:9-10, (1123-1131), Online publication date: 1-Jun-2003.
  312. Oh J, Lee J and Kote S Real time video data mining for surveillance video streams Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining, (222-233)
  313. Hasler D, Sbaiz L, Süsstrunk S and Vetterli M (2003). Outlier Modeling in Image Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25:3, (301-315), Online publication date: 1-Mar-2003.
  314. Caspi Y and Irani M (2002). Spatio-Temporal Alignment of Sequences, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:11, (1409-1424), Online publication date: 1-Nov-2002.
  315. Takeuchi I, Bengio Y and Kanamori T (2002). Robust regression with asymmetric heavy-tail noise distributions, Neural Computation, 14:10, (2469-2496), Online publication date: 1-Oct-2002.
  316. Kervrann C, Hoebeke M and Trubuil A (2002). Isophotes Selection and Reaction-Diffusion Model for Object Boundaries Estimation, International Journal of Computer Vision, 50:1, (63-94), Online publication date: 1-Oct-2002.
  317. Prima S, Ayache N, Janke A, Francis S, Arnold D and Collins D Statistical Analysis of Longitudinal MRI Data Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I, (363-371)
  318. Bai E (2002). An Optimization Based Robust Identification Algorithm in the Presence of Outliers, Journal of Global Optimization, 23:3-4, (195-211), Online publication date: 1-Aug-2002.
  319. ACM
    Alqallaf F, Konis K, Martin R and Zamar R Scalable robust covariance and correlation estimates for data mining Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, (14-23)
  320. ACM
    De Lucia A, Pompella E and Stefanucci S Effort estimation for corrective software maintenance Proceedings of the 14th international conference on Software engineering and knowledge engineering, (409-416)
  321. Croux C, Haesbroeck G and Rousseeuw P (2002). Location adjustment for the minimum volume ellipsoid estimator, Statistics and Computing, 12:3, (191-200), Online publication date: 1-Jul-2002.
  322. ACM
    Estivill-Castro V (2002). Why so many clustering algorithms, ACM SIGKDD Explorations Newsletter, 4:1, (65-75), Online publication date: 1-Jun-2002.
  323. Amaldi E and Mattavelli M (2002). The MIN PFS problem and piecewise linear model estimation, Discrete Applied Mathematics, 118:1-2, (115-143), Online publication date: 15-Apr-2002.
  324. Can A, Stewart C, Roysam B and Tanenbaum H (2002). A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:3, (347-364), Online publication date: 1-Mar-2002.
  325. Fioravanti F and Nesi P (2001). Estimation and Prediction Metrics for Adaptive Maintenance Effort of Object-Oriented Systems, IEEE Transactions on Software Engineering, 27:12, (1062-1084), Online publication date: 1-Dec-2001.
  326. Chang N and Zakhor A (2001). Constructing a Multivalued Representation for View Synthesis, International Journal of Computer Vision, 45:2, (157-190), Online publication date: 1-Nov-2001.
  327. Blanquero R, Carrizosa E and Conde E (2001). Finding GM-estimators with global optimization techniques, Journal of Global Optimization, 21:3, (223-237), Online publication date: 1-Nov-2001.
  328. Olson C (2001). A General Method for Geometric Feature Matching and Model Extraction, International Journal of Computer Vision, 45:1, (39-54), Online publication date: 31-Oct-2001.
  329. ACM
    Ngo C, Pong T and Zhang H On clustering and retrieval of video shots Proceedings of the ninth ACM international conference on Multimedia, (51-60)
  330. Amir A, Kashi R and Netanyahu N Analyzing Quantitative Databases Proceedings of the 27th International Conference on Very Large Data Bases, (89-98)
  331. ACM
    Knorr E, Ng R and Zamar R Robust space transformations for distance-based operations Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, (126-135)
  332. Vieville T, Lingrand D and Gaspard F (2001). Implementing a Multi-Model Estimation Method, International Journal of Computer Vision, 44:1, (41-64), Online publication date: 1-Aug-2001.
  333. El Emam K, Benlarbi S, Goel N and Rai S (2001). The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics, IEEE Transactions on Software Engineering, 27:7, (630-650), Online publication date: 1-Jul-2001.
  334. (2001). Building Detection from Multiple Aerial Images in Dense Urban Areas, Computer Vision and Image Understanding, 82:3, (181-207), Online publication date: 1-Jun-2001.
  335. Ortín D and Montiel J (2001). Indoor robot motion based on monocular images, Robotica, 19:3, (331-342), Online publication date: 1-May-2001.
  336. Charikar M, Khuller S, Mount D and Narasimhan G Algorithms for facility location problems with outliers Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms, (642-651)
  337. Forsyth D, Haddon J and Ioffe S (2001). The Joy of Sampling, International Journal of Computer Vision, 41:1-2, (109-134), Online publication date: 1-Jan-2001.
  338. Rosen J, Park H, Glick J and Zhang L (2000). Accurate Solution to Overdetermined Linear Equations with Errors Using L1 Norm Minimization, Computational Optimization and Applications, 17:2-3, (329-341), Online publication date: 1-Dec-2000.
  339. Sanchiz J and Fisher R (2000). Viewpoint Estimation in Three-Dimensional Images Taken with Perspective Range Sensors, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:11, (1324-1329), Online publication date: 1-Nov-2000.
  340. Sebe N, Lew M and Huijsmans D (2000). Toward Improved Ranking Metrics, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:10, (1132-1143), Online publication date: 1-Oct-2000.
  341. Yi B and Faloutsos C Fast Time Sequence Indexing for Arbitrary Lp Norms Proceedings of the 26th International Conference on Very Large Data Bases, (385-394)
  342. Estivill-Castro V Hybrid genetic algorithms are better for spatial clustering Proceedings of the 6th Pacific Rim international conference on Artificial intelligence, (424-434)
  343. Estivill-Castro V and Yang J Fast and robust general purpose clustering algorithms Proceedings of the 6th Pacific Rim international conference on Artificial intelligence, (208-218)
  344. Teng C Evaluating noise correction Proceedings of the 6th Pacific Rim international conference on Artificial intelligence, (188-198)
  345. Köster K and Spann M (2000). MIR, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:5, (430-444), Online publication date: 1-May-2000.
  346. Odone F, Fusiello A and Tracco E Robust motion segmentation for content-based video coding Content-Based Multimedia Information Access - Volume 1, (594-601)
  347. ACM
    Pedrycz W, Vasilakos A and Gacek A Information granulation for concept formation Proceedings of the 2000 ACM symposium on Applied computing - Volume 1, (484-489)
  348. Gray A and Macdonell S (1999). Software Metrics Data Analysis—Exploring the RelativePerformance of Some Commonly Used Modeling Techniques, Empirical Software Engineering, 4:4, (297-316), Online publication date: 1-Dec-1999.
  349. Huang J, Ravi Kumar S, Mitra M, Zhu W and Zabih R (1999). Spatial Color Indexing and Applications, International Journal of Computer Vision, 35:3, (245-268), Online publication date: 1-Dec-1999.
  350. Atkinson A and Cheng T (1999). Computing least trimmed squares regression with the forward search, Statistics and Computing, 9:4, (251-263), Online publication date: 1-Nov-1999.
  351. Szeliski R and Zabih R An Experimental Comparison of Stereo Algorithms Proceedings of the International Workshop on Vision Algorithms: Theory and Practice, (1-19)
  352. Olson C A General Method for Feature Matching and Model Extraction Proceedings of the International Workshop on Vision Algorithms: Theory and Practice, (20-36)
  353. Geiger D, Liu T and Donahue M (1999). Sparse Representations for Image Decompositions, International Journal of Computer Vision, 33:2, (139-156), Online publication date: 2-Sep-1999.
  354. Frigui H and Krishnapuram R (1999). A Robust Competitive Clustering Algorithm With Applications in Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 21:5, (450-465), Online publication date: 1-May-1999.
  355. Viéville T and Lingrand D (1999). Using Specific Displacements to Analyze Motion without Calibration, International Journal of Computer Vision, 31:1, (5-29), Online publication date: 1-Feb-1999.
  356. Ong E and Spann M (1999). Robust Optical Flow Computation Based on Least-Median-of-Squares Regression, International Journal of Computer Vision, 31:1, (51-82), Online publication date: 1-Feb-1999.
  357. ACM
    Chen C, Hung Y, Shih S, Hsieh C, Tang C, Yu C and Cheng Y Integrating virtual objects into real images for augmented reality Proceedings of the ACM symposium on Virtual reality software and technology, (1-8)
  358. Zhang Z and Xu G (1998). A Unified Theory of Uncalibrated Stereo for Both Perspective and Affine Cameras, Journal of Mathematical Imaging and Vision, 9:3, (213-229), Online publication date: 1-Nov-1998.
  359. Bab-Hadiashar A and Suter D (1998). Robust Optic Flow Computation, International Journal of Computer Vision, 29:1, (59-77), Online publication date: 1-Aug-1998.
  360. Zhang Z (1998). Determining the Epipolar Geometry and its Uncertainty, International Journal of Computer Vision, 27:2, (161-195), Online publication date: 1-Apr-1998.
  361. Black M and Jepson A (1998). EigenTracking, International Journal of Computer Vision, 26:1, (63-84), Online publication date: 1-Jan-1998.
  362. Knorr E and Ng R A unified approach for mining outliers Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
  363. ACM
    Huang J, Kumar S and Mitra M Combining supervised learning with color correlograms for content-based image retrieval Proceedings of the fifth ACM international conference on Multimedia, (325-334)
  364. Torr P and Murray D (1997). The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix, International Journal of Computer Vision, 24:3, (271-300), Online publication date: 21-Sep-1997.
  365. ACM
    Chen Y and Stromberg A (1997). Robust estimation in software experiments, ACM SIGSOFT Software Engineering Notes, 22:4, (60-64), Online publication date: 1-Jul-1997.
  366. Mount D, Netanyahu N, Romanik K, Silverman R and Wu A A practical approximation algorithm for the LMS line estimator Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms, (473-482)
  367. Chaudhuri S, Sharma S and Chatterjee S (1996). Recursive Estimation of Motion Parameters, Computer Vision and Image Understanding, 64:3, (434-442), Online publication date: 1-Nov-1996.
  368. Wong P and Bergeron R Multiresolution multidimensional wavelet brushing Proceedings of the 7th conference on Visualization '96, (141-ff.)
  369. Black M and Jepson A (1996). Estimating Optical Flow in Segmented Images Using Variable-Order Parametric Models With Local Deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18:10, (972-986), Online publication date: 1-Oct-1996.
  370. Drew M (1996). Direct Solution of Orientation-from-Color Problem Using a Modification of Pentland's Light Source Direction Estimator, Computer Vision and Image Understanding, 64:2, (286-299), Online publication date: 1-Sep-1996.
  371. Sawhney H and Ayer S (1996). Compact Representations of Videos Through Dominant and Multiple Motion Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18:8, (814-830), Online publication date: 1-Aug-1996.
  372. Viéville T and Faugeras O (1996). The First Order Expansion of Motion Equations in the Uncalibrated Case, Computer Vision and Image Understanding, 64:1, (128-146), Online publication date: 1-Jul-1996.
  373. Black M and Anandan P (1996). The Robust Estimation of Multiple Motions, Computer Vision and Image Understanding, 63:1, (75-104), Online publication date: 1-Jan-1996.
  374. Rosin P and West G (1995). Nonparametric Segmentation of Curves into Various Representations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17:12, (1140-1153), Online publication date: 1-Dec-1995.
  375. Stewart C (1995). MINPRAN, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17:10, (925-938), Online publication date: 1-Oct-1995.
  376. John G Robust decision trees Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (174-179)
  377. Castillo E, Bouckaert R, Sarabia J and Solares C Error estimation in approximate Bayesian belief network inference Proceedings of the Eleventh conference on Uncertainty in artificial intelligence, (55-62)
  378. Seaver B and Triantis K (1995). The Impact of Outliers and Leverage Points for Technical Efficiency Measurement Using High Breakdown Procedures, Management Science, 41:6, (937-956), Online publication date: 1-Jun-1995.
  379. Masuda T and Yokoya N (1995). A Robust Method for Registration and Segmentation of Multiple Range Images, Computer Vision and Image Understanding, 61:3, (295-307), Online publication date: 1-May-1995.
  380. ACM
    Crawford K, Vasicek D and Wainwright R Detecting multiple outliers in regression data using genetic algorithms Proceedings of the 1995 ACM symposium on Applied computing, (351-356)
  381. Boyer K, Mirza M and Ganguly G (1994). The Robust Sequential Estimator, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:10, (987-1001), Online publication date: 1-Oct-1994.
  382. Yu X, Bui T and Krzyzak A (1994). Robust Estimation for Range Image Segmentation and Reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:5, (530-538), Online publication date: 1-May-1994.
  383. Saxena S Fault isolation during semiconductor manufacturing using automated discovery from wafer tracking databases Proceedings of the 2nd International Conference on Knowledge Discovery in Databases, (81-88)
  384. Iu S and Wu E Noise reduction using multi-frame motion estimation, with outlier rejection and trajectory correction Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V, (205-208)
  385. Thompson W, Lechleider P and Stuck E (1993). Detecting Moving Objects Using the Rigidity Constraint, IEEE Transactions on Pattern Analysis and Machine Intelligence, 15:2, (162-166), Online publication date: 1-Feb-1993.
  386. Tirumalai A, Schunck B and Jain R (1992). Dynamic Stereo with Self-Calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14:12, (1184-1189), Online publication date: 1-Dec-1992.
  387. Stein A and Werman M Finding the repeated median regression line Proceedings of the third annual ACM-SIAM symposium on Discrete algorithms, (409-413)
  388. Wolke R (1992). Iteratively reweighted least squares: A comparison of several single step algorithms for linear models, BIT, 32:3, (506-524), Online publication date: 1-Sep-1992.
  389. Kiryati N and Bruckstein A (1992). What's in a Set of Points? (Straight Line Fitting), IEEE Transactions on Pattern Analysis and Machine Intelligence, 14:4, (496-500), Online publication date: 1-Apr-1992.
  390. Sinha S and Schunck B (1992). A Two-Stage Algorithm for Discontinuity-Preserving Surface Reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14:1, (36-55), Online publication date: 1-Jan-1992.
  391. Zhuang X, Wang T and Zhang P (1992). A Highly Robust Estimator Through Partially Likelihood Function Modeling and Its Application in Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14:1, (19-35), Online publication date: 1-Jan-1992.
  392. Jolion J, Meer P and Bataouche S (1991). Robust Clustering with Applications in Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 13:8, (791-802), Online publication date: 1-Aug-1991.
  393. Aisbett J (1990). An Iterated Estimation of the Motion Parameters of a Rigid Body from Noisy Displacement Vectors, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12:11, (1092-1098), Online publication date: 1-Nov-1990.
  394. Bacher R, Chatelain F and Michel O An adaptive robust regression method: Application to galaxy spectrum baseline estimation 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (4423-4427)
Contributors
Please enable JavaScript to view thecomments powered by Disqus.

Recommendations