Jordi Vitrià

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petia radevaFull professor, University of Barcelona, Senior Researcher, Computer Vision CenterVerified email at ub.edu
Santi SeguíUniversitat de Barcelona (UB)Verified email at ub.edu
Oriol PujolFull Professor of Computer Science and Artificial Intelligence, Universitat de BarcelonaVerified email at ub.edu
David Masip RodoFull Professor of Computer Science, Universitat Oberta de Catalunya (UOC)Verified email at uoc.edu
Xavier BaróUniversitat Oberta de Catalunya (UOC)Verified email at uoc.edu
Michał DrożdżalFacebook AI ResearchVerified email at fb.com
Fernando VilariñoComputer Vision Center and Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
xavier binefaUniversitat pompeu fabra; universitat autonoma de barcelonaVerified email at upf.edu
Àgata LapedrizaUniversitat Oberta de CatalunyaVerified email at uoc.edu
Laura IgualUniversity of BarcelonaVerified email at ub.edu
Bogdan RaducanuComputer Vision CenterVerified email at cvc.uab.es
Xavier Roca MarvaComputer Vision Center, Universitat Autonoma de BarcelonaVerified email at uab.cat
Angel D. SappaESPOL Polytechnic University (Ecuador) and Computer Vision Center (Spain)Verified email at espol.edu.ec
Aleix MartinezAmazon, The Ohio State UniversityVerified email at ece.osu.edu
Maria VanrellComputer Vision Center - Universitat Autònoma de BarcelonaVerified email at uab.cat
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Axel BrandoPostdoctoral Research Engineer at BSC-CNS. Former Industrial Ph.D. at BBVA D&A and UBVerified email at ub.edu
Guillem PascualUniversitat de Barcelona (UB)Verified email at ub.edu
Miguel Angel BautistaMachine Learning Research, AppleVerified email at apple.com
Jose MenaUniversitat de BarcelonaVerified email at alumnes.ub.edu

Jordi Vitrià

Professor of Computer Science, Universitat de Barcelona

Verified email at ub.edu - Homepage

Deep Learning Machine Learning


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Discriminant ECOC: A heuristic method for application dependent design of error correcting output codes O Pujol, P Radeva, J Vitria IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (6), 1007-1012, 2006	315	2006
Traffic sign recognition using evolutionary adaboost detection and forest-ECOC classification X Baró, S Escalera, J Vitria, O Pujol, P Radeva IEEE Transactions on Intelligent Transportation Systems 10 (1), 113-126, 2009	263	2009
Introducing a weighted non-negative matrix factorization for image classification D Guillamet, J Vitria, B Schiele Pattern Recognition Letters 24 (14), 2447-2454, 2003	240	2003
Non-negative matrix factorization for face recognition D Guillamet, J Vitria Topics in Artificial Intelligence: 5th Catalonian Conference on AI, CCIA …, 2002	213	2002
Nonparametric discriminant analysis and nearest neighbor classification M Bressan, J Vitria Pattern Recognition Letters 24 (15), 2743-2749, 2003	154	2003
Analyzing non-negative matrix factorization for image classification D Guillamet, B Schiele, J Vitria 2002 International Conference on Pattern Recognition 2, 116-119, 2002	108	2002
A weighted non-negative matrix factorization for local representations D Guillamet, M Bressan, J Vitria Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	101	2001
Learning to count with deep object features S Seguí, O Pujol, J Vitria Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	98	2015
Generic feature learning for wireless capsule endoscopy analysis S Seguí, M Drozdzal, G Pascual, P Radeva, C Malagelada, F Azpiroz, ... Computers in biology and medicine 79, 163-172, 2016	96	2016
Automatic detection of intestinal juices in wireless capsule video endoscopy F de Iorio, P Radeva, J Vitria, O Pujol, P Spyridonos, F Vilarino 18th International Conference on Pattern Recognition (ICPR'06) 4, 719-722, 2006	83	2006
Classifying faces with nonnegative matrix factorization D Guillamet, J Vitria Proc. 5th Catalan conference for artificial intelligence, 24-31, 2002	78	2002
Learning mixture models using a genetic version of the EM algorithm AM Martınez, J Vitria Pattern Recognition Letters 21 (8), 759-769, 2000	75	2000
On the selection and classification of independent features M Bressan, J Vitria IEEE transactions on pattern analysis and machine intelligence 25 (10), 1312 …, 2003	74	2003
Intestinal motility assessment with video capsule endoscopy: automatic annotation of phasic intestinal contractions F Vilarino, P Spyridonos, F DeIorio, J Vitria, F Azpiroz, P Radeva IEEE transactions on medical imaging 29 (2), 246-259, 2009	73	2009
Gender recognition in non controlled environments A Lapedriza, MJ Marin-Jimenez, J Vitria 18th International Conference on Pattern Recognition (ICPR'06) 3, 834-837, 2006	71	2006
Local color analysis for scene break detection applied to TV commercials recognition JM Sánchez, X Binefa, J Vitrià, P Radeva Visual Information and Information Systems: Third International Conference …, 2002	69	2002
Tracking elongated structures using statistical snakes R Toledo, X Orriols, X Binefa, P Radeva, J Vitria, JJ Villanueva Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000	64	2000
Evaluation of the lithium clerance method: direct analysis of tubular lithium handling by micropuncture WH Boer, R Fransen, DG Shirley, SJ Walter, P Boer, HA Koomans Kidney international 47 (4), 1023-1030, 1995	64	1995
Evaluation of distance metrics for recognition based on non-negative matrix factorization D Guillamet, J Vitria Pattern Recognition Letters 24 (9-10), 1599-1605, 2003	62	2003
Automatic prediction of facial trait judgments: Appearance vs. structural models M Rojas Q, D Masip, A Todorov, J Vitria PloS one 6 (8), e23323, 2011	60	2011

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