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Tomaso Poggio
Researcher at Massachusetts Institute of Technology
Publications - 623
Citations - 93801
Tomaso Poggio is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Cognitive neuroscience of visual object recognition & Artificial neural network. The author has an hindex of 132, co-authored 608 publications receiving 88676 citations. Previous affiliations of Tomaso Poggio include Istituto Italiano di Tecnologia & INSEAD.
Papers
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Journal ArticleDOI
Networks for approximation and learning
Tomaso Poggio,Federico Girosi +1 more
TL;DR: Regularization networks are mathematically related to the radial basis functions, mainly used for strict interpolation tasks as mentioned in this paper, and two extensions of the regularization approach are presented, along with the approach's corrections to splines, regularization, Bayes formulation, and clustering.
Proceedings ArticleDOI
HMDB: A large video database for human motion recognition
TL;DR: This paper uses the largest action video database to-date with 51 action categories, which in total contain around 7,000 manually annotated clips extracted from a variety of sources ranging from digitized movies to YouTube, to evaluate the performance of two representative computer vision systems for action recognition and explore the robustness of these methods under various conditions.
Journal ArticleDOI
Hierarchical models of object recognition in cortex
TL;DR: A new hierarchical model consistent with physiological data from inferotemporal cortex that accounts for this complex visual task and makes testable predictions is described.
Journal ArticleDOI
Face recognition: features versus templates
Roberto Brunelli,Tomaso Poggio +1 more
TL;DR: Two new algorithms for computer recognition of human faces, one based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second based on almost-gray-level template matching are presented.
Journal ArticleDOI
Prediction of central nervous system embryonal tumour outcome based on gene expression
Scott L. Pomeroy,Pablo Tamayo,Michelle Gaasenbeek,Lisa Marie Sturla,Michael Angelo,Margaret McLaughlin,John Y.H. Kim,Liliana Goumnerova,Peter McL. Black,Ching C. Lau,Jeffrey C. Allen,David Zagzag,James M. Olson,Tom Curran,Cynthia Wetmore,Jaclyn A. Biegel,Tomaso Poggio,Shayan Mukherjee,Ryan Rifkin,Andrea Califano,Gustavo Stolovitzky,David N. Louis,Jill P. Mesirov,Eric S. Lander,Todd R. Golub,Todd R. Golub +25 more
TL;DR: It is demonstrated that medulloblastomas are molecularly distinct from other brain tumours including primitive neuroectodermal tumours, atypical teratoid/rhabdoid tumours (AT/RTs) and malignant gliomas, and it is shown that the clinical outcome of children with medullOBlastomas is highly predictable on the basis of the gene expression profiles of their tumours at diagnosis.