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Katerine Díaz-Chito
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2020 – today
- 2024
- [j11]Mairead Campbell
, Paul Miller, Katerine Díaz-Chito, Xin Hong, Niall McLaughlin, Farzad Parvinzamir, Jesús Martínez del Rincón
A computer vision approach to monitor activity in commercial broiler chickens using trajectory-based clustering analysis. Comput. Electron. Agric. 217: 108591 (2024) - 2020
- [i1]Debora Gil, Katerine Díaz-Chito, Carles Sánchez, Aura Hernández-Sabaté:
Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images. CoRR abs/2005.13928 (2020)
2010 – 2019
- 2019
- [j10]Katerine Díaz-Chito
Feature Extraction by Using Dual-Generalized Discriminative Common Vectors. J. Math. Imaging Vis. 61(3): 331-351 (2019) - [c8]Marta Ligero
Selection of Radiomics Features based on their Reproducibility. EMBC 2019: 403-408 - 2018
- [j9]Katerine Díaz-Chito
Continuous Head Pose Estimation Using Manifold Subspace Embedding and Multivariate Regression. IEEE Access 6: 18325-18334 (2018) - [j8]Katerine Díaz-Chito
Fast Kernel Generalized Discriminative Common Vectors for Feature Extraction. J. Math. Imaging Vis. 60(4): 512-524 (2018) - [j7]Katerine Díaz-Chito
An overview of incremental feature extraction methods based on linear subspaces. Knowl. Based Syst. 145: 219-235 (2018) - [j6]Marçal Rusiñol
Augmented songbook: an augmented reality educational application for raising music awareness. Multim. Tools Appl. 77(11): 13773-13798 (2018) - 2017
- [j5]Katerine Díaz-Chito
Decremental generalized discriminative common vectors applied to images classification. Knowl. Based Syst. 131: 46-57 (2017) - 2016
- [j4]Katerine Díaz-Chito
A reduced feature set for driver head pose estimation. Appl. Soft Comput. 45: 98-107 (2016) - [c7]Saad Minhas, Aura Hernández-Sabaté
LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode. ECCV Workshops (3) 2016: 894-900 - [d1]Aura Hernández-Sabaté, Antonio M. López, Katerine Díaz-Chito:
DrivFace. UCI Machine Learning Repository, 2016 - 2015
- [j3]Katerine Díaz-Chito
Incremental Generalized Discriminative Common Vectors for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1761-1775 (2015) - 2013
- [j2]James S. Cope, Paolo Remagnino, S. Mannan, Katerine Díaz-Chito
Reverse engineering expert visual observations: From fixations to the learning of spatial filters with a neural-gas algorithm. Expert Syst. Appl. 40(17): 6707-6712 (2013) - [c6]Francesc J. Ferri
Fast Approximated Discriminative Common Vectors Using Rank-One SVD Updates. ICONIP (3) 2013: 368-375 - 2011
- [c5]Katerine Díaz-Chito, Francesc J. Ferri
Null Space Based Image Recognition Using Incremental Eigendecomposition. IbPRIA 2011: 313-320 - 2010
- [c4]Katerine Díaz-Chito, Francesc J. Ferri
Image Recognition through Incremental Discriminative Common Vectors. ACIVS (2) 2010: 304-311 - [c3]Francesc J. Ferri
Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors. ICDM Workshops 2010: 1159-1166
2000 – 2009
- 2009
- [j1]Katerine Díaz-Chito, Francesc Josep Ferri Rabasa, Wladimiro Díaz Villanueva:
Feature Extraction by means of Rough Discriminative Common Vectors with Kernels. Inteligencia Artif. 13(43): 1-15 (2009) - 2008
- [c2]Francesc J. Ferri
Using subspace-based learning methods for medical drug design and characterization. SMC 2008: 2111-2115 - [c1]Katerine Díaz-Chito, Francesc J. Ferri
An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions. SSPR/SPR 2008: 977-985
Coauthor Index
aka: Francesc Josep Ferri Rabasa
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