TOMASO POGGIO - Citazioni di Google Scholar

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Maximilian RiesenhuberProfessor of Neuroscience, Georgetown UniversityEmail verificata su georgetown.edu
Christof KochChief Scientist and PresidentEmail verificata su alleninstitute.org
Sayan MukherjeeDuke University, MITEmail verificata su stat.duke.edu
Lorenzo RosascoUnige-IIT-MITEmail verificata su mit.edu
Heinrich H. BülthoffDirector at Max Planck Institute for Biological CyberneticsEmail verificata su tuebingen.mpg.de
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonEmail verificata su iit.it
Ryan M. RifkinMIT, GoogleEmail verificata su mit.edu
Thomas VetterProfessor in Computer Science, University of Basel Email verificata su unibas.ch
Shimon EdelmanProfessor of Psychology, Cornell UniversityEmail verificata su cornell.edu
Roberto Brunelliformerly ITC-irst, now PATEmail verificata su provincia.tn.it
Earl MillerPicower Professor of Neuroscience, Massachusetts Institute of TechnologyEmail verificata su mit.edu
Gabriel KreimanProfessor, Children's Hospital, Harvard Medical SchoolEmail verificata su tch.harvard.edu
Manfred FahleProfessor for Human Neurobiology, Bremen UniversityEmail verificata su uni-bremen.de
Michael JonesResearcher, MERLEmail verificata su merl.com
Theodoros EvgeniouINSEADEmail verificata su insead.edu
Stephen SMALEprofessor cityu of hong kongEmail verificata su cityu.edu.hk
Huei-han JhuangPerceiving Systems, Max Planck Institute for Intelligent SystemsEmail verificata su tuebingen.mpg.de
David BeymerResearch Staff Member, IBM ResearchEmail verificata su us.ibm.com
alessandro verriprofessor of computer science, dibris, università degli studi di genovaEmail verificata su unige.it
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityEmail verificata su jhu.edu

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	Citata da	Anno
Networks for approximation and learning T Poggio, F Girosi Proceedings of the IEEE 78 (9), 1481-1497, 1990	4218	1990
Face recognition: Features versus templates R Brunelli, T Poggio IEEE transactions on pattern analysis and machine intelligence 15 (10), 1042 …, 1993	3710	1993
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	3588*	1978
Hierarchical models of object recognition in cortex M Riesenhuber, T Poggio Nature neuroscience 2 (11), 1019, 1999	3229	1999
The computational brain PS Churchland, TJ Sejnowski MIT press, 2016	2763	2016
Example Based Learning for View-Based Human Face Detection. KK Sung, T Poggio MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB, 1994	2579	1994
A computational theory of human stereo vision D Marr, T Poggio Proceedings of the Royal Society of London. Series B. Biological Sciences …, 1979	2570	1979
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, 2002	2407	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	2216	2001
Computational vision and regularization theory T Poggio, V Torre, C Koch Readings in Computer Vision, 638-643, 1987	2010	1987
Cooperative computation of stereo disparity D Marr, T Poggio Science 194 (4262), 283-287, 1976	1934	1976
A general framework for object detection CP Papageorgiou, M Oren, T Poggio Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998	1755	1998
Robust object recognition with cortex-like mechanisms T Serre, L Wolf, S Bileschi, M Riesenhuber, T Poggio IEEE Transactions on Pattern Analysis & Machine Intelligence, 411-426, 2007	1705	2007
A trainable system for object detection C Papageorgiou, T Poggio International journal of computer vision 38 (1), 15-33, 2000	1537	2000
Regularization theory and neural networks architectures F Girosi, M Jones, T Poggio Neural computation 7 (2), 219-269, 1995	1513	1995
On the mathematical foundations of learning F Cucker, S Smale Bulletin of the American mathematical society 39 (1), 1-49, 2002	1413	2002
A network that learns to recognize three-dimensional objects T Poggio, S Edelman Nature 343 (6255), 263, 1990	1387	1990
Incremental and decremental support vector machine learning G Cauwenberghs, T Poggio Advances in neural information processing systems, 409-415, 2001	1353	2001
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1, 2000	1346	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	1336	1997

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