Publicaciones en las que colabora con JOSE DAVID MARTIN GUERRERO (12)

2007

  1. Steady-state and tracking analysis of a robust adaptive filter with low computational cost

    Signal Processing, Vol. 87, Núm. 1, pp. 210-215

2006

  1. Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function

    Neurocomputing, Vol. 69, Núm. 7-9 SPEC. ISS., pp. 909-912

  2. Non-linear RLS-based algorithm for pattern classification

    Signal Processing, Vol. 86, Núm. 5, pp. 1104-1108

2004

  1. Kernel methods for HyMap imagery knowledge discovery

    Proceedings of SPIE - The International Society for Optical Engineering

  2. Regularized RBF networks for hyperspectral data classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3212, pp. 429-436

  3. Robust support vector method for hyperspectral data classification and knowledge discovery

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, Núm. 7, pp. 1530-1542

2003

  1. A low-complexity fuzzy activation function for artificial neural networks

    IEEE Transactions on Neural Networks

  2. A soft approach to ERA algorithm for hyperspectral image classification

    ISPA 2003: PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, PTS 1 AND 2

  3. Cart-based feature selection of hyperspectral images for crop cover classification

    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS

  4. Feature selection of hyperspectral data through local correlation and SFFS for crop classification

    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS

  5. Semi-supervised classification method for hyperspectral remote sensing images

    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS

  6. Support vector machines for crop classification using hyperspectral data

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2652, pp. 134-141