Publicaciones en las que colabora con WLADIMIRO DIAZ VILLANUEVA (19)

2018

  1. Efficient Analysis and Synthesis Using a New Factorization of the Gabor Frame Matrix

    IEEE Transactions on Signal Processing, Vol. 66, Núm. 17, pp. 4564-4573

2015

  1. Incremental Generalized Discriminative Common Vectors for Image Classification

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, Núm. 8, pp. 1761-1775

2013

  1. Drug activity characterization using one-class support vector machines with counterexamples

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Fast approximated discriminative common vectors using rank-one SVD updates

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011

  1. Null space based image recognition using incremental eigendecomposition

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Efficient dimensionality reduction on undersampled problems through incremental discriminative common vectors

    Proceedings - IEEE International Conference on Data Mining, ICDM

  2. Image recognition through incremental discriminative common vectors

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Learning improved feature rankings through decremental input pruning for support vector based drug activity prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009

  1. Feature Extraction by means of Rough Discriminative Common Vectors with Kernels

    Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, Vol. 13, Núm. 43, pp. 1-15

2008

  1. An empirical evaluation of common vector based classification methods and some extensions

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Using Subspace-based Learning Methods for Medical Drug Design and Characterization

    2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6

  3. Using subspace-based learning methods for medical drug design and characterization

    Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

2007

  1. A comparative study using different topological representations in pattern recognition based drug activity characterization

    Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

  2. A comparative study using different topological representations in pattern recognition based drug activity characterization

    2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8

  3. Experiments about the generalization ability of common vector based methods for face recognition

    Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems PRIS 2007; In Conjunction with ICEIS 2007

2006

  1. Experiments on automatic drug activity characterization using support vector classification

    Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006

  2. Experiments on automatic drug activity characterization using support vector classification

    PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE

2005

  1. A holistic classification system for check amounts based on neural networks with rejection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2004

  1. Improving pattern recognition based pharmacological drug selection through ROC analysis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3287, pp. 621-628