Publicaciones en las que colabora con JESUS MALO LOPEZ (24)

2015

  1. Dimensionality reduction via regression in hyperspectral imagery

    IEEE Journal on Selected Topics in Signal Processing, Vol. 9, Núm. 6, pp. 1026-1036

2014

  1. DIMENSIONALITY REDUCTION VIA REGRESSION ON HYPERSPECTRAL INFRARED SOUNDING DATA

    2014 6TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS)

  2. Dimensionality reduction via regression on hyperspectral infrared sounding data

    Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

  3. LOSSLESS CODING OF HYPERSPECTRAL IMAGES WITH PRINCIPAL POLYNOMIAL ANALYSIS

    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)

  4. Lossless coding of hyperspectral images with principal polynomial analysis

    2014 IEEE International Conference on Image Processing, ICIP 2014

  5. Principal polynomial analysis

    International Journal of Neural Systems, Vol. 24, Núm. 7

2013

  1. Kernel Structural SIMIlarity on hyperspectral images

    International Geoscience and Remote Sensing Symposium (IGARSS)

2012

  1. NONLINEAR DATA DESC RIPTION WITH PRINCIPAL POLYNOMIAL ANALYSIS

    2012 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)

  2. Nonlinear data description with Principal Polynomial Analysis

    IEEE International Workshop on Machine Learning for Signal Processing, MLSP

  3. Nonlinearities and adaptation of color vision from sequential principal curves analysis

    Neural Computation, Vol. 24, Núm. 10, pp. 2751-2788

2011

  1. A Review of Kernel Methods in Remote Sensing Data Analysis

    OPTICAL REMOTE SENSING: ADVANCES IN SIGNAL PROCESSING AND EXPLOITATION TECHNIQUES, Vol. 3, pp. 171-206

  2. Iterative gaussianization: From ICA to random rotations

    IEEE Transactions on Neural Networks, Vol. 22, Núm. 4, pp. 537-549

  3. Principal polynomial analysis for remote sensing data processing

    International Geoscience and Remote Sensing Symposium (IGARSS)

  4. Remote sensing image processing

    Morgan and Claypool Publishers, pp. 1-194

2010

  1. Adaptive kernel ridge regression for image denoising

    Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010

  2. Estimating biophysical variable dependences with kernels

    International Geoscience and Remote Sensing Symposium (IGARSS)

  3. Image denoising with kernels based on natural image relations

    Journal of Machine Learning Research, Vol. 11, pp. 873-903

2009

  1. PCA Gaussianization for image processing

    Proceedings - International Conference on Image Processing, ICIP

  2. PCA Gaussianization for one-class remote sensing image classification

    Proceedings of SPIE - The International Society for Optical Engineering

2008

  1. On the suitable domain for SVM training in image coding

    Journal of Machine Learning Research, Vol. 9, pp. 49-66