Publications dans lesquelles il/elle collabore avec FRANCISCO JAVIER ESCOLANO RUIZ (17)

2014

  1. Quantum vs classical ranking in segment grouping

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

2013

  1. How do image complexity, task demands and looking biases influence human gaze behavior?

    Pattern Recognition Letters, Vol. 34, Núm. 7, pp. 723-730

  2. Information-theoretic selection of high-dimensional spectral features for structural recognition

    Computer Vision and Image Understanding, Vol. 117, Núm. 3, pp. 214-228

  3. TurboTensors for entropic image comparison

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

2012

  1. Heat flow-thermodynamic depth complexity in directed networks

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

2011

  1. Information-geometric graph indexing from bags of partial node coverages

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6658 LNCS, pp. 52-61

2010

  1. Bypass information-theoretic shape similarity from non-rigid points-based alignment

    2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

  2. Entropy-based variational scheme for fast bayes learning of gaussian mixtures

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

  3. High-dimensional spectral feature selection for 3D object recognition based on reeb graphs

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

  4. Information-theoretic feature selection from unattributed graphs

    Proceedings - International Conference on Pattern Recognition

2009

  1. Information theory in computer vision and pattern recognition

    Springer London, pp. 1-364

  2. Region and constellations based categorization of images with unsupervised graph learning

    Image and Vision Computing, Vol. 27, Núm. 7, pp. 960-978

2008

  1. Feature selection, mutual information, and the classification of high-dimensional patterns: Applications to image classification and microarray data analysis

    Pattern Analysis and Applications, Vol. 11, Núm. 3-4, pp. 309-319

2007

  1. A novel information theory method for filter feature selection

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

  2. Constellations and the unsupervised learning of graphs

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

  3. Contextual visual localization: Cascaded submap classification, optimized saliency detection, and fast view matching

    IEEE International Conference on Intelligent Robots and Systems

  4. Robot Navigation Behaviors Based on Omnidirectional Vision and Information Theory

    JoPha: Journal of Physical Agents, Vol. 1, Núm. 1, pp. 27-36