CIENCIA DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL
Departamento
BOYAN
IVANOV BONEV
Investigador en el periodo 2011-2013
Publicaciones en las que colabora con BOYAN IVANOV BONEV (23)
2014
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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
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How do image complexity, task demands and looking biases influence human gaze behavior?
Pattern Recognition Letters, Vol. 34, Núm. 7, pp. 723-730
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Information-theoretic selection of high-dimensional spectral features for structural recognition
Computer Vision and Image Understanding, Vol. 117, Núm. 3, pp. 214-228
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TurboTensors for entropic image comparison
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012
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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)
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Portable autonomous walk calibration for 4-legged robots
Applied Intelligence, Vol. 36, Núm. 1, pp. 136-147
2011
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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
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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
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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
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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)
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Feature selection based on information theory
Feature selection based on information theory
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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)
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Information-theoretic feature selection from unattributed graphs
Proceedings - International Conference on Pattern Recognition
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Large Scale Environment Partitioning in Mobile Robotics Recognition Tasks
JoPha: Journal of Physical Agents, Vol. 4, Núm. 2, pp. 11-18
2009
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Information theory in computer vision and pattern recognition
Springer London, pp. 1-364
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Region and constellations based categorization of images with unsupervised graph learning
Image and Vision Computing, Vol. 27, Núm. 7, pp. 960-978
2008
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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
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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)
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Constellations and the unsupervised learning of graphs
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Contextual visual localization: Cascaded submap classification, optimized saliency detection, and fast view matching
IEEE International Conference on Intelligent Robots and Systems