Tomaso A. Poggio

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HMDB: A large video database for human motion recognition

Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso A. Poggio, Thomas Serre
2011 International Conference on Computer Vision
2011

With nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted to the collection… (More)

Hierarchical models of object recognition in cortex

Maximilian Riesenhuber, Tomaso A. Poggio
Nature Neuroscience
1999

Visual processing in cortex is classically modeled as a hierarchy of increasingly sophisticated representations, naturally extending the model of simple to complex cells of Hubel and Wiesel.… (More)

Robust Object Recognition with Cortex-Like Mechanisms

Thomas Serre, Lior Wolf, Stanley M. Bileschi, Maximilian Riesenhuber, Tomaso A. Poggio
IEEE Transactions on Pattern Analysis and Machine…
2007

We introduce a new general framework for the recognition of complex visual scenes, which is motivated by biology: We describe a hierarchical system that closely follows the organization of visual… (More)

Example-Based Learning for View-Based Human Face Detection

Kah Kay Sung, Tomaso A. Poggio
IEEE Trans. Pattern Anal. Mach. Intell.
1998

Finding human faces automatically in an image is a dif cult yet important rst step to a fully automatic face recognition system This paper presents an example based learning approach for locating… (More)

Face Recognition: Features Versus Templates

Roberto Brunelli, Tomaso A. Poggio
IEEE Trans. Pattern Anal. Mach. Intell.
1993

Over the last 20 years, several different techniques have been proposed for computer recognition of human faces. The purpose of this paper is to compare two simple but general strategies on a common… (More)

Incremental and Decremental Support Vector Machine Learning

An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously seen training data, in… (More)

Object recognition with features inspired by visual cortex

Thomas Serre, Lior Wolf, Tomaso A. Poggio
2005 IEEE Computer Society Conference on Computer…
2005

We introduce a novel set of features for robust object recognition. Each element of this set is a complex feature obtained by combining position- and scale-tolerant edge-detectors over neighboring… (More)

Multiclass cancer diagnosis using tumor gene expression signatures.

Sridhar Ramaswamy, Pablo Tamayo, +12 authors Todd R. Golub
Proceedings of the National Academy of Sciences…
2001

The optimal treatment of patients with cancer depends on establishing accurate diagnoses by using a complex combination of clinical and histopathological data. In some instances, this task is… (More)

Prediction of central nervous system embryonal tumour outcome based on gene expression

Scott L. Pomeroy, Pablo Tamayo, +22 authors Todd R. Golub
Nature
2002

Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis, on the basis of morphologic appearance… (More)

A network that learns to recognize three-dimensional objects

THE visual recognition of three-dimensional (3-D) objects on the basis of their shape poses at least two difficult problems. First, there is the problem of variable illumination, which can be… (More)

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