Publicacións nas que colabora con BOYAN IVANOV BONEV (23)

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)

  2. Portable autonomous walk calibration for 4-legged robots

    Applied Intelligence, Vol. 36, Núm. 1, pp. 136-147

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

  2. Una propuesta de curso de posgrado usando tecnologías libres

    IX Jornades de xarxes d'investigació en docència universitària: disseny de bones pràctiques docents en el context actual

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. Feature selection based on information theory

    Feature selection based on information theory

  4. 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)

  5. Information-theoretic feature selection from unattributed graphs

    Proceedings - International Conference on Pattern Recognition

  6. Large Scale Environment Partitioning in Mobile Robotics Recognition Tasks

    JoPha: Journal of Physical Agents, Vol. 4, Núm. 2, pp. 11-18

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