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Pattern classification: a unified view of statistical and neural approachesFebruary 1996
Publisher:
  • John Wiley & Sons, Inc.
  • 605 Third Ave. New York, NY
  • United States
ISBN:978-0-471-13534-0
Published:23 February 1996
Pages:
373
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Abstract

No abstract available.

Cited By

  1. Hillebrand M, Kreßel U, Wöhler C and Kummert F Traffic sign classifier adaption by semi-supervised co-training Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition, (193-200)
  2. Staroszczyk T, Osowski S and Markiewicz T Comparative analysis of feature selection methods for blood cell recognition in leukemia Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition, (467-481)
  3. Hillebrand M, Wöhler C, Kreßel U and Kummert F Semi-supervised training set adaption to unknown countries for traffic sign classifiers Proceedings of the First IAPR TC3 conference on Partially Supervised Learning, (120-127)
  4. Wang H, Xie X and Li D A new method for identifying cancer-related gene association patterns Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications, (115-122)
  5. Lemos A, Caminhas W and Gomide F Fuzzy multivariable Gaussian evolving approach for fault detection and diagnosis Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty, (360-369)
  6. Runkler T Comparing partitions by subset similarities Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty, (29-38)
  7. Wilinski A, Osowski S and Siwek K Gene selection for cancer classification through ensemble of methods Proceedings of the 9th international conference on Adaptive and natural computing algorithms, (507-516)
  8. Wilinski A, Osowski S and Siwek K Gene Selection for Cancer Classification through Ensemble of Methods Proceedings of the 2009 conference on Adaptive and Natural Computing Algorithms - Volume 5495, (507-516)
  9. Qin K and Oommen B Chaotic Pattern Recognition Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, (540-550)
  10. Toh K Error-rate based biometrics fusion Proceedings of the 2007 international conference on Advances in Biometrics, (191-200)
  11. Kim J and Hong K An improved fusion and fission architecture between multi-modalities based on wearable computing Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing, (113-122)
  12. Markiewicz T, Osowski S and Mariańska B White Blood Cell Automatic Counting System Based on Support Vector Machine Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II, (318-326)
  13. Patel P and Marwala T Neural networks, fuzzy inference systems and adaptive-neuro fuzzy inference systems for financial decision making Proceedings of the 13th international conference on Neural information processing - Volume Part III, (430-439)
  14. Toh K (2006). Training a reciprocal-sigmoid classifier by feature scaling-space, Machine Language, 65:1, (273-308), Online publication date: 1-Oct-2006.
  15. Kim J and Hong K Speech and gesture recognition-based robust language processing interface in noise environment Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning, (338-345)
  16. Liu C Polynomial network classifier with discriminative feature extraction Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition, (732-740)
  17. Kim J and Hong K MMSDS Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing, (539-548)
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  19. Huang L and Shimizu A Combining classifiers for robust face detection Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II, (116-121)
  20. Kim J and Hong K Approach to extended CSCW design based on embedded Korean sign language recognizer Proceedings of the 10th international conference on Computer supported cooperative work in design III, (287-296)
  21. Toh K, Jiang X and Yau W Relaxation of hard classification targets for LSE minimization Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, (187-202)
  22. Koerich A, Sabourin R and Suen C (2005). Recognition and Verification of Unconstrained Handwritten Words, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27:10, (1509-1522), Online publication date: 1-Oct-2005.
  23. Mouchere H, Anquetil E and Ragot N On-line Writer Adaptation for Handwriting Recognition using Fuzzy Inference Systems Proceedings of the Eighth International Conference on Document Analysis and Recognition
  24. Raudys S Taxonomy of classifiers based on dissimilarity features Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I, (136-145)
  25. Chen D, He Q, Dong C and Wang X A method to construct the mapping to the feature space for the dot product kernels Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics, (918-929)
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  27. Chen D, He Q and Wang X The infinite polynomial kernel for support vector machine Proceedings of the First international conference on Advanced Data Mining and Applications, (267-275)
  28. Calitoiu D, Oommen B and Nusbaumm D Modeling inaccurate perception Proceedings of the 14th Scandinavian conference on Image Analysis, (821-830)
  29. Thiel C, Schwenker F and Palm G Using dempster-shafer theory in MCF systems to reject samples Proceedings of the 6th international conference on Multiple Classifier Systems, (118-127)
  30. Yang S (2005). Symbol Recognition via Statistical Integration of Pixel-Level Constraint Histograms, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27:2, (278-281), Online publication date: 1-Feb-2005.
  31. Büchler M, Allegro S, Launer S and Dillier N (2005). Sound classification in hearing aids inspired by auditory scene analysis, EURASIP Journal on Advances in Signal Processing, 2005, (2991-3002), Online publication date: 1-Jan-2005.
  32. Ravindran S, Smith P, Graham D, Duangudom V, Anderson D and Hasler P (2005). Towards low-power on-chip auditory processing, EURASIP Journal on Advances in Signal Processing, 2005, (1082-1092), Online publication date: 1-Jan-2005.
  33. Lai S and Fang M (2005). An adaptive window width/center adjustment system with online training capabilities for MR images, Artificial Intelligence in Medicine, 33:1, (89-101), Online publication date: 1-Jan-2005.
  34. Toh K, Tran Q and Yau W Some issues pertaining to adaptive multimodal biometric authentication Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication, (617-628)
  35. Liu C, Sako H and Fujisawa H (2004). Effects of Classifier Structures and Training Regimes on Integrated Segmentation and Recognition of Handwritten Numeral Strings, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26:11, (1395-1407), Online publication date: 1-Nov-2004.
  36. Perronnin F, Dugelay J and Rose K (2004). A probabilistic model for face transformation with application to person identification, EURASIP Journal on Advances in Signal Processing, 2004, (510-521), Online publication date: 1-Jan-2004.
  37. Hao H, Liu C and Sako H Confidence Evaluation for Combining Diverse Classifiers Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
  38. Hao H, Liu C and Sako H Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
  39. Sutanto P, Leedham G and Pervouchine V Study of the Consistency of Some Discriminatory Features Used by Document Examiners in the Analysis of Handwritten Letter a' Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
  40. Bunke H Recognition of Cursive Roman Handwriting - Past, Present and Future Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
  41. Cutzu F How to do multi-way classification with two-way classifiers Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing, (375-382)
  42. Cutzu F Polychotomous classification with pairwise classifiers Proceedings of the 4th international conference on Multiple classifier systems, (115-124)
  43. Zhang X, Broun C, Mersereau R and Clements M (2002). Automatic speechreading with applications to human-computer interfaces, EURASIP Journal on Advances in Signal Processing, 2002:1, (1228-1247), Online publication date: 1-Jan-2002.
  44. Utschick W and Weichselberger W (2001). Stochastic Organization of Output Codes in Multiclass Learning Problems, Neural Computation, 13:5, (1065-1102), Online publication date: 1-May-2001.
  45. Walczak S and Nowack W (2001). An Artificial Neural Network Approach to Diagnosing Epilepsy Using Lateralized Bursts of Theta EEGs, Journal of Medical Systems, 25:1, (9-20), Online publication date: 1-Feb-2001.
  46. Campbell W A sequence kernel and its application to speaker recognition Proceedings of the 15th International Conference on Neural Information Processing Systems: Natural and Synthetic, (1157-1163)
  47. Yan H (2001). Image Analysis for Digital Media Applications, IEEE Computer Graphics and Applications, 21:1, (18-26), Online publication date: 1-Jan-2001.
  48. Sanchez-Reillo R, Sanchez-Avila C and Gonzalez-Marcos A (2000). Biometric Identification through Hand Geometry Measurements, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:10, (1168-1171), Online publication date: 1-Oct-2000.
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  50. Teow L and Loe K An uncertainty framework for classification Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence, (574-579)
  51. Liu C and Nakagawa M (2000). Precise Candidate Selection for Large Character Set Recognition by Confidence Evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:6, (636-642), Online publication date: 1-Jun-2000.
  52. Jain A, Duin R and Mao J (2000). Statistical Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:1, (4-37), Online publication date: 1-Jan-2000.
  53. Pfister M, Behnke S and Rojas R (2000). Recognition of Handwritten ZIP Codes in a Real—WorldNon-Standard-Letter Sorting System, Applied Intelligence, 12:1-2, (95-115), Online publication date: 1-Jan-2000.
  54. Oh I, Lee J and Suen C (1999). Analysis of Class Separation and Combination of Class-Dependent Features for Handwriting Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 21:10, (1089-1094), Online publication date: 1-Oct-1999.
  55. Nakhaeizadeh G, Taylor C and Lanquillon C Evaluating usefulness for dynamic classification Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, (87-94)
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  57. Ha T (1997). The Optimum Class-Selective Rejection Rule, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19:6, (608-615), Online publication date: 1-Jun-1997.
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