Tomaso Poggio

Known as: Poggio, Tomasio Poggio 
Tomaso Armando Poggio (born September 11, 1947 in Genoa, Italy), is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences… (More)
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Papers overview

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Review
2017
Review
2017
The paper reviews and extends an emerging body of theoretical results on deep learning including the conditions under which it… (More)
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2011
2011
I conjecture that the sample complexity of object recognition is mostly due to geometric image transformations and that a main… (More)
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Highly Cited
2006
Highly Cited
2006
Sayan Mukherjee a,b, Partha Niyogi c, Tomaso Poggio a, and Ryan Rifkin a,d a Center for Biological and Computational Learning… (More)
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Highly Cited
2006
Highly Cited
2006
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model… (More)
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Highly Cited
2005
Highly Cited
2005
Standard SVM training has O(m3) time andO(m2) space complexities, where m is the training set size. It is thus computationally… (More)
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Highly Cited
2004
Highly Cited
2004
Digital images are easy to manipulate and edit due to availability of powerful image processing and editing software. Nowadays… (More)
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Highly Cited
2001
Highly Cited
2001
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other… (More)
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Highly Cited
1997
Highly Cited
1997
The need to generate new views of a 3D object from a single real image arises in several fields, including graphics and°object… (More)
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Highly Cited
1993
Highly Cited
1993
We had previously shown that regularization principles lead to approximation schemes which are equivalent to networks with one… (More)
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Highly Cited
1989
Highly Cited
1989
Networks can be considered as approximation schemes. Multilayer networks of the perceptron type can approximate arbitrarily well… (More)
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