TOMASO POGGIO

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Federico GirosiSenior Policy Researcher, RAND CorporationVerified email at rand.org
Maximilian RiesenhuberProfessor of Neuroscience, Georgetown UniversityVerified email at georgetown.edu
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
Christof KochChief Scientist, MindScope Program, Allen InstituteVerified email at alleninstitute.org
Ryan M. RifkinMIT, GoogleVerified email at mit.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Shimon EdelmanProfessor of Psychology, Cornell UniversityVerified email at cornell.edu
Heinrich H. BülthoffEmeritus Director at Max Planck Institute for Biological CyberneticsVerified email at tuebingen.mpg.de
Thomas VetterEmeritus Professor in Computer Science, University of BaselVerified email at unibas.ch
Earl K. MillerPicower Professor of Neuroscience, Massachusetts Institute of TechnologyVerified email at mit.edu
Roberto Brunelliformerly ITC-irst, now PATVerified email at provincia.tn.it
Manfred FahleProfessor for Human Neurobiology, Bremen UniversityVerified email at uni-bremen.de
Huei-han JhuangPerceiving Systems, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalVerified email at tch.harvard.edu
Michael JonesResearcher, MERLVerified email at merl.com
Theodoros EvgeniouINSEADVerified email at insead.edu
Stephen SMALEprofessor cityu of hong kongVerified email at cityu.edu.hk
Estibaliz GarroteResearcher, TecnaliaVerified email at tecnalia.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Lior WolfThe School of Computer Science at Tel Aviv UniversityVerified email at cs.tau.ac.il

TOMASO POGGIO

McDermott Professor in Brain Sciences, MIT

Verified email at ai.mit.edu - Homepage

Machine Learning Learning Theory AI Neuroscience Computational Vision


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Networks for approximation and learning T Poggio, F Girosi Proceedings of the IEEE 78 (9), 1481-1497, 1990	4706	1990
Face recognition: Features versus templates R Brunelli, T Poggio IEEE transactions on pattern analysis and machine intelligence 15 (10), 1042 …, 1993	4290	1993
Hierarchical models of object recognition in cortex M Riesenhuber, T Poggio Nature neuroscience 2 (11), 1019-1025, 1999	4173	1999
HMDB: a large video database for human motion recognition H Kuehne, H Jhuang, E Garrote, T Poggio, T Serre 2011 International conference on computer vision, 2556-2563, 2011	3725	2011
A computational theory of human stereo vision D Marr, T Poggio Proceedings of the Royal Society of London. Series B. Biological Sciences …, 1979	3104	1979
Example-based learning for view-based human face detection KK Sung, T Poggio IEEE Transactions on pattern analysis and machine intelligence 20 (1), 39-51, 1998	2954	1998
Prediction of central nervous system embryonal tumour outcome based on gene expression SL Pomeroy, P Tamayo, M Gaasenbeek, LM Sturla, M Angelo, ... Nature 415 (6870), 436-442, 2002	2819	2002
Multiclass cancer diagnosis using tumor gene expression signatures S Ramaswamy, P Tamayo, R Rifkin, S Mukherjee, CH Yeang, M Angelo, ... Proceedings of the National Academy of Sciences 98 (26), 15149-15154, 2001	2532	2001
A general framework for object detection CP Papageorgiou, M Oren, T Poggio Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	2361	1998
Computational vision and regularization theory T Poggio, V Torre, C Koch Readings in computer vision, 638-643, 1987	2236	1987
Cooperative Computation of Stereo Disparity: A cooperative algorithm is derived for extracting disparity information from stereo image pairs. D Marr, T Poggio Science 194 (4262), 283-287, 1976	2221	1976
Robust object recognition with cortex-like mechanisms T Serre, L Wolf, S Bileschi, M Riesenhuber, T Poggio IEEE transactions on pattern analysis and machine intelligence 29 (3), 411-426, 2007	2084	2007
Regularization theory and neural networks architectures F Girosi, M Jones, T Poggio Neural computation 7 (2), 219-269, 1995	1899	1995
A trainable system for object detection C Papageorgiou, T Poggio International journal of computer vision 38, 15-33, 2000	1888	2000
On the mathematical foundations of learning F Cucker, S Smale Bulletin of the American mathematical society 39 (1), 1-49, 2002	1882	2002
Comparing support vector machines with Gaussian kernels to radial basis function classifiers B Scholkopf, KK Sung, CJC Burges, F Girosi, P Niyogi, T Poggio, ... IEEE transactions on Signal Processing 45 (11), 2758-2765, 1997	1766	1997
Incremental and decremental support vector machine learning G Cauwenberghs, T Poggio Advances in neural information processing systems 13, 2000	1756	2000
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13, 1-50, 2000	1593	2000
On edge detection V Torre, TA Poggio IEEE Transactions on Pattern Analysis and Machine Intelligence, 147-163, 1986	1530	1986
Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik Advances in neural information processing systems 13, 2000	1525	2000

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