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A. Pujol; Jordi Vitria; Petia Radeva; X. Binefa; Robert Benavente; Ernest Valveny; Craig Von Land |
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Real time pharmaceutical product recognition using color and shape indexing. |
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Conference Article |
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1999 |
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Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing. |
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OR;MILAB;DAG;CIC;MV |
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BCNPCL @ bcnpcl @ PVR1999 |
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24 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Pujol; Jose Luis Alba; Juan J. Villanueva |
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Title |
Supervised Hausdorff-based measures for face recognition. |
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Miscellaneous |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:255–261. |
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ISE @ ise @ PAV2001 |
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148 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Pujol; Juan J. Villanueva |
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Title |
Desarrollo de una interface basada en la utilizacion de redes neuronales aplicadas a la clasificacion de las respuestas electroencefalograficas a estimulos visuales. |
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1996 |
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XIV Congreso anual de la sociedad española de ingenieria biomedica |
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ISE @ ise @ PuV1996 |
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215 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Pujol; Juan J. Villanueva |
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A supervised Modification of the Hausdorff distance for visual shape classification |
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2002 |
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International Journal of Pattern Recognition and Artificial Intelligence |
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16 |
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3 |
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349-359 |
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(IF: 0.359) |
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ISE |
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PuV2002 |
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273 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Pujol; Juan J. Villanueva; H. Wechsler |
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Title |
Automatic View Based Caricaturing. |
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2000 |
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15 th International Conference on Pattern Recognition, 1:1072–1075. |
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Barcelona. |
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ISE @ ise @ PVW2000 |
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227 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Pujol; Juan J. Villanueva; Jose Luis Alba |
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Title |
Efficient Computation of Face Shape Similarity Using Distance Transform Eigendecomposition and Valleys. |
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Miscellaneous |
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2001 |
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IEEE International Conference on Image Processing (ICIP 2001), 1:1030–1033 |
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Grecia |
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ISE @ ise @ PVA2001 |
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203 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Pujol; X. Varona; Joan Serrat |
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Title |
A machine vision system for the inspection of industrial sieves. |
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Miscellaneous |
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1997 |
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VII SNRFAI. |
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ADAS |
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ADAS @ adas @ PVS1997 |
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33 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Quingles |
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Particio de sòlids |
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2001 |
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CVC Technical Report #54 |
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CVC (UAB) |
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Admin @ si @ Qui2001 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Restrepo; Angel Sappa; M. Devy |
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Title |
Edge registration versus triangular mesh registration, a comparative study |
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2005 |
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Signal Processing: Image Communication 20: 853–868 (IF: 1.264) |
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ADAS |
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ADAS @ adas @ RSD2005 |
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567 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Richichi; O. Fors; M.T. Merino; Xavier Otazu; J. Nuñez; A. Prades; U. Thiele; D. Perez-Ramirez; F.J. Montojo |
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The Calar Alto lunar occultation program: update and new results |
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2006 |
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Astronomy and Astrophysics (Section ’Stellar structure and evolution’), 445:1081–1088 |
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CIC |
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CAT @ cat @ RFM2006a |
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589 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Ruiz; Joost Van de Weijer; Xavier Binefa |
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Title |
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization |
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Conference Article |
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2014 |
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25th British Machine Vision Conference |
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We address the problem of estimating high-level semantic labels for videos of recorded people by means of analysing their facial expressions. This problem, to which we refer as facial behavior categorization, is a weakly-supervised learning problem where we do not have access to frame-by-frame facial gesture annotations but only weak-labels at the video level are available. Therefore, the goal is to learn a set of discriminative expressions and how they determine the video weak-labels. Facial behavior categorization can be posed as a Multi-Instance-Learning (MIL) problem and we propose a novel MIL method called Regularized Multi-Concept MIL to solve it. In contrast to previous approaches applied in facial behavior analysis, RMC-MIL follows a Multi-Concept assumption which allows different facial expressions (concepts) to contribute differently to the video-label. Moreover, to handle with the high-dimensional nature of facial-descriptors, RMC-MIL uses a discriminative approach to model the concepts and structured sparsity regularization to discard non-informative features. RMC-MIL is posed as a convex-constrained optimization problem where all the parameters are jointly learned using the Projected-Quasi-Newton method. In our experiments, we use two public data-sets to show the advantages of the Regularized Multi-Concept approach and its improvement compared to existing MIL methods. RMC-MIL outperforms state-of-the-art results in the UNBC data-set for pain detection. |
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Nottingham; UK; September 2014 |
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BMVC |
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LAMP; CIC; 600.074; 600.079 |
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Admin @ si @ RWB2014 |
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2508 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Sanfeliu; Juan J. Villanueva |
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An approach of visual motion analysis |
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2005 |
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Pattern Recognition Letters |
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PRL |
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26 |
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3 |
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355–368 |
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IF: 1.138 |
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ISE @ ise @ SaV2005 |
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561 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Sanfeliu; Juan J. Villanueva; Jordi Vitria |
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Image Analysis and Pattern Recognition. |
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Miscellaneous |
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1997 |
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BCNPCL @ bcnpcl @ SVV1997 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A. Toet; M. Henselmans; M.P. Lucassen; Theo Gevers |
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Emotional effects of dynamic textures |
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2011 |
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i-Perception |
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2 |
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969 – 991 |
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This study explores the effects of various spatiotemporal dynamic texture characteristics on human emotions. The emotional experience of auditory (eg, music) and haptic repetitive patterns has been studied extensively. In contrast, the emotional experience of visual dynamic textures is still largely unknown, despite their natural ubiquity and increasing use in digital media. Participants watched a set of dynamic textures, representing either water or various different media, and self-reported their emotional experience. Motion complexity was found to have mildly relaxing and nondominant effects. In contrast, motion change complexity was found to be arousing and dominant. The speed of dynamics had arousing, dominant, and unpleasant effects. The amplitude of dynamics was also regarded as unpleasant. The regularity of the dynamics over the textures’ area was found to be uninteresting, nondominant, mildly relaxing, and mildly pleasant. The spatial scale of the dynamics had an unpleasant, arousing, and dominant effect, which was larger for textures with diverse content than for water textures. For water textures, the effects of spatial contrast were arousing, dominant, interesting, and mildly unpleasant. None of these effects were observed for textures of diverse content. The current findings are relevant for the design and synthesis of affective multimedia content and for affective scene indexing and retrieval. |
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2041-6695 |
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ALTRES;ISE |
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Admin @ si @THL2011 |
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1843 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
A.F. Sole; Antonio Lopez; Cristina Cañero; Petia Radeva; J. Saludes |
![download PDF file pdf](img/file_PDF.gif)
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Crease enhancement diffusion |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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Bilbao |
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ADAS @ adas @ SLC1999 |
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9 |
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