TOMASO POGGIO

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Federico GirosiSenior Policy Researcher, RAND CorporationEmail verificata su rand.org
Maximilian RiesenhuberProfessor of Neuroscience, Georgetown UniversityEmail verificata su georgetown.edu
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaEmail verificata su unige.it
Christof KochChief Scientist, MindScope Program, Allen InstituteEmail verificata su alleninstitute.org
Sayan MukherjeeDuke University, MITEmail verificata su stat.duke.edu
Ryan M. RifkinMIT, GoogleEmail verificata su mit.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonEmail verificata su iit.it
Shimon EdelmanProfessor of Psychology, Cornell UniversityEmail verificata su cornell.edu
Heinrich H. BülthoffEmeritus Director at Max Planck Institute for Biological CyberneticsEmail verificata su tuebingen.mpg.de
Roberto Brunelliformerly ITC-irst, now PATEmail verificata su provincia.tn.it
Thomas VetterProfessor in Computer Science, University of Basel Email verificata su unibas.ch
Earl K. MillerPicower Professor of Neuroscience, Massachusetts Institute of TechnologyEmail verificata su mit.edu
Manfred FahleProfessor for Human Neurobiology, Bremen UniversityEmail verificata su uni-bremen.de
Huei-han JhuangPerceiving Systems, Max Planck Institute for Intelligent SystemsEmail verificata su tuebingen.mpg.de
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalEmail verificata su tch.harvard.edu
Michael JonesResearcher, MERLEmail verificata su merl.com
Theodoros EvgeniouINSEADEmail verificata su insead.edu
Stephen SMALEprofessor cityu of hong kongEmail verificata su cityu.edu.hk
Estibaliz GarroteResearcher, TecnaliaEmail verificata su tecnalia.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityEmail verificata su jhu.edu

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TOMASO POGGIO

McDermott Professor in Brain Sciences, MIT

Email verificata su ai.mit.edu - Home page

Machine Learning Learning Theory AI Neuroscience Computational Vision


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Networks for approximation and learning T Poggio, F Girosi Proceedings of the IEEE 78 (9), 1481-1497, 1990	4666	1990
Face recognition: Features versus templates R Brunelli, T Poggio IEEE transactions on pattern analysis and machine intelligence 15 (10), 1042 …, 1993	4236	1993
Hierarchical models of object recognition in cortex M Riesenhuber, T Poggio Nature neuroscience 2 (11), 1019-1025, 1999	4094	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	3485	2011
A computational theory of human stereo vision D Marr, T Poggio Proceedings of the Royal Society of London. Series B. Biological Sciences …, 1979	3073	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	2925	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	2795	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	2506	2001
A general framework for object detection CP Papageorgiou, M Oren, T Poggio Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	2303	1998
Computational vision and regularization theory T Poggio, V Torre, C Koch Readings in computer vision, 638-643, 1987	2223	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	2206	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	2050	2007
Regularization theory and neural networks architectures F Girosi, M Jones, T Poggio Neural computation 7 (2), 219-269, 1995	1864	1995
A trainable system for object detection C Papageorgiou, T Poggio International journal of computer vision 38, 15-33, 2000	1860	2000
On the mathematical foundations of learning F Cucker, S Smale Bulletin of the American mathematical society 39 (1), 1-49, 2002	1823	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	1729	1997
Incremental and decremental support vector machine learning G Cauwenberghs, T Poggio Advances in neural information processing systems 13, 2000	1722	2000
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13, 1-50, 2000	1578	2000
On edge detection V Torre, TA Poggio IEEE Transactions on Pattern Analysis and Machine Intelligence, 147-163, 1986	1509	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	1508	2000

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