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Federico GirosiSenior Policy Researcher, RAND CorporationE-mail confirmado em rand.org
Maximilian RiesenhuberProfessor of Neuroscience, Georgetown UniversityE-mail confirmado em georgetown.edu
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaE-mail confirmado em unige.it
Christof KochChief Scientist, MindScope Program, Allen InstituteE-mail confirmado em alleninstitute.org
Ryan M. RifkinMIT, GoogleE-mail confirmado em mit.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonE-mail confirmado em iit.it
Heinrich H. BülthoffEmeritus Director at Max Planck Institute for Biological CyberneticsE-mail confirmado em tuebingen.mpg.de
Shimon EdelmanProfessor of Psychology, Cornell UniversityE-mail confirmado em cornell.edu
Thomas VetterEmeritus Professor in Computer Science, University of BaselE-mail confirmado em unibas.ch
Earl K. MillerPicower Professor of Neuroscience, Massachusetts Institute of TechnologyE-mail confirmado em mit.edu
Roberto Brunelliformerly ITC-irst, now PATE-mail confirmado em provincia.tn.it
Huei-han JhuangPerceiving Systems, Max Planck Institute for Intelligent SystemsE-mail confirmado em tuebingen.mpg.de
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalE-mail confirmado em tch.harvard.edu
Michael JonesResearcher, MERLE-mail confirmado em merl.com
Theodoros EvgeniouINSEADE-mail confirmado em insead.edu
Manfred FahleProfessor for Human Neurobiology, Bremen UniversityE-mail confirmado em uni-bremen.de
Stephen SMALEprofessor cityu of hong kongE-mail confirmado em cityu.edu.hk
Estibaliz GarroteResearcher, TecnaliaE-mail confirmado em tecnalia.com
alessandro verriprofessor of computer science, dibris, università degli studi di genovaE-mail confirmado em unige.it
James LittleProfessor Emeritus, Computer Science, University of British ColumbiaE-mail confirmado em cs.ubc.ca

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TOMASO POGGIO

McDermott Professor in Brain Sciences, MIT

E-mail confirmado em ai.mit.edu - Página inicial

Machine Learning Learning Theory AI Neuroscience Computational Vision


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Networks for approximation and learning T Poggio, F Girosi Proceedings of the IEEE 78 (9), 1481-1497, 1990	4917	1990
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	4739	2011
Hierarchical models of object recognition in cortex M Riesenhuber, T Poggio Nature neuroscience 2 (11), 1019-1025, 1999	4415	1999
Face recognition: Features versus templates R Brunelli, T Poggio IEEE transactions on pattern analysis and machine intelligence 15 (10), 1042 …, 1993	4390	1993
A computational theory of human stereo vision D Marr, T Poggio Proceedings of the Royal Society of London. Series B. Biological Sciences …, 1979	3237	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	3041	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	2913	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	2611	2001
A general framework for object detection CP Papageorgiou, M Oren, T Poggio Sixth international conference on computer vision (IEEE Cat. No. 98CH36271 …, 1998	2501	1998
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	2320	1976
Computational vision and regularization theory T Poggio, V Torre, C Koch Readings in computer vision, 638-643, 1987	2295	1987
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	2167	2007
On the mathematical foundations of learning F Cucker, S Smale Bulletin of the American mathematical society 39 (1), 1-49, 2002	2091	2002
Regularization theory and neural networks architectures F Girosi, M Jones, T Poggio Neural computation 7 (2), 219-269, 1995	2032	1995
A trainable system for object detection C Papageorgiou, T Poggio International journal of computer vision 38, 15-33, 2000	1980	2000
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	1903	1997
Incremental and decremental support vector machine learning G Cauwenberghs, T Poggio Advances in neural information processing systems 13, 2000	1865	2000
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13, 1-50, 2000	1671	2000
On edge detection V Torre, TA Poggio IEEE Transactions on Pattern Analysis and Machine Intelligence, 147-163, 1986	1604	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	1570	2000

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