TOMASO POGGIO

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Federico GirosiProfessor,University of Western Sydney & Chief Scientist, Digital Health CRCVerified email at dhcrc.com
Maximilian RiesenhuberProfessor of Neuroscience, Georgetown UniversityVerified email at georgetown.edu
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at mit.edu
Christof KochChief Scientist and PresidentVerified email at alleninstitute.org
Sayan MukherjeeDuke University, MITVerified email at stat.duke.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Ryan M. RifkinMIT, GoogleVerified email at mit.edu
Thomas VetterProfessor in Computer Science, University of Basel Verified email at unibas.ch
Heinrich H. BülthoffDirector at Max Planck Institute for Biological CyberneticsVerified email at tuebingen.mpg.de
Shimon EdelmanProfessor of Psychology, Cornell UniversityVerified email at cornell.edu
Roberto Brunelliformerly ITC-irst, now PATVerified email at provincia.tn.it
Earl K. MillerPicower Professor of Neuroscience, Massachusetts Institute of TechnologyVerified email at mit.edu
Theodoros EvgeniouINSEADVerified email at insead.edu
Manfred FahleProfessor for Human Neurobiology, Bremen UniversityVerified email at uni-bremen.de
Michael JonesResearcher, MERLVerified email at merl.com
Gabriel KreimanProfessor, Children's Hospital, Harvard Medical SchoolVerified email at tch.harvard.edu
Huei-han JhuangPerceiving Systems, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at unige.it
Lior WolfThe School of Computer Science at Tel Aviv UniversityVerified email at cs.tau.ac.il
David BeymerResearch Staff Member, IBM ResearchVerified email at us.ibm.com

TOMASO POGGIO

McDermott Professor in Brain Sciences, MIT

Verified email at ai.mit.edu - Homepage

Machine Learning Learning Theory AI Neuroscience Computational Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Networks for approximation and learning T Poggio, F Girosi Proceedings of the IEEE 78 (9), 1481-1497, 1990	4469	1990
Face recognition: Features versus templates R Brunelli, T Poggio IEEE transactions on pattern analysis and machine intelligence 15 (10), 1042 …, 1993	4077	1993
Hierarchical models of object recognition in cortex M Riesenhuber, T Poggio Nature neuroscience 2 (11), 1019-1025, 1999	3736	1999
Representation and recognition of the spatial organization of three-dimensional shapes D Marr, HK Nishihara Proceedings of the Royal Society of London. Series B. Biological Sciences …, 1978	3677*	1978
The computational brain PS Churchland, TJ Sejnowski MIT press, 1994	2983	1994
A computational theory of human stereo vision D Marr, T Poggio Proceedings of the Royal Society of London. Series B. Biological Sciences …, 1979	2844	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	2809	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	2624	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	2396	2001
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	2384	2011
Computational vision and regularization theory T Poggio, V Torre, C Koch Readings in computer vision, 638-643, 1987	2089	1987
A general framework for object detection CP Papageorgiou, M Oren, T Poggio Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	2068	1998
Cooperative computation of stereo disparity D Marr, T Poggio Science 194 (4262), 283-287, 1976	2067	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	1944	2007
Regularization theory and neural networks architectures F Girosi, M Jones, T Poggio Neural computation 7 (2), 219-269, 1995	1745	1995
A trainable system for object detection C Papageorgiou, T Poggio International journal of computer vision 38 (1), 15-33, 2000	1734	2000
On the mathematical foundations of learning T Poggio, CR Shelton American Mathematical Society 39 (1), 1-49, 2002	1649	2002
Incremental and decremental support vector machine learning G Cauwenberghs, T Poggio Advances in neural information processing systems, 409-415, 2001	1602	2001
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	1553	1997
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1-50, 2000	1498	2000

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