Tomaso Poggio

Tomaso Poggio (* 1947 in Genoa) is a native of Italy American computer scientist who is particularly concerned with learning in the computer and in biological systems, computer vision and the functioning of the brain and neuro- computer science. He is a professor at the Massachusetts Institute of Technology (MIT).

Poggio in 1970 received his doctorate in theoretical physics from the University of Genoa summa cum laude (On Holographic Models of Memory ). 1971 to 1981 he was a research assistant at the Max Planck Institute for Biological Cybernetics in Tübingen. In 1981 he became Associate Professor in 1984 and Professor in the AI ​​Lab ( CSAIL today ) and the Faculty of Psychology at MIT. Since 2002 he has been there Eugene McDermott Professor in the Department of Brain and Cognitive Science research and since 2013 director of the Center for Brain, Minds and Machines ( CBMM ) of the McGovern Institute of Brain Research at MIT.

In Tübingen, he worked with Werner Reichardt ( about information processing in the visual system of the fly ) and he worked with David Marr and Francis Crick.

He is a foreign member of the Istituto Lombardo and the Accademia dei XL and a member of the American Academy of Arts and Sciences and the American Association for the Advancement of Science. In 1992 he received the Max Planck Research Award and the 1979 Otto Hahn Medal. He holds honorary doctorates from the University of Pavia. In 2003 he received the Gabor Award and the 2009 Okawa Prize.

Poggio has U.S. citizenship.

Writings

  • With F. Girosi Networks for approximation and learning, Proc. IEEE, Vol 78, 1990, 1481-1497
  • R. Brunelli: Face recognition: features vs. templates, IEEE Transactions Pattern Analysis and Machine Intelligence, Volume 15, 1993, 1042-1052
  • With D. Marr, EC Hildreth, WEL Grimson: A computational theory of human stereo vision, in: From the retina to the neocortex, Birkhauser, 1991, 263-295
  • With Marr: Cooperative Computation of Stereo Disparity, AI Lab, MIT 1976
  • With S. Edelman: A network did learns to Recognize 3D objects, Nature, 343, 1990, 263-266
  • With F. Girosi, M. Jones: Regularization theory and neural networks architectures, Neural computation, 7, 1995, 219-269
  • With M. Riesenhuber: Hierarchical models of object recognition in cortex, Nature Neuroscience, 2, 1999, 1019-1025
  • With V. Torre, C. Koch: Computational vision and regularization theory, Image Understanding, 3, 1989, 111
  • KK Sung: Example based learning for view -based human face detection, IEEE Transactions Pattern Analysis and Machine Intelligence, Volume 20, 1998, 39-51
  • Like humans and computer vision, Scientific American, special issue on Computer Systems ( ed. Siekmann ) 1989
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