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Linear Object Classes and Image Synthesis from a Single Example Image 

Vetter, Thomas; Poggio, Tomaso (1995-03-01)
The need to generate new views of a 3D object from a single real image arises in several fields, including graphics and object recognition. While the traditional approach relies on the use of 3D models, we have recently ...
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Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples 

Girosi, Federico; Poggio, Tomaso; Caprile, Bruno (1990-07-01)
Learning an input-output mapping from a set of examples can be regarded as synthesizing an approximation of a multi-dimensional function. From this point of view, this form of learning is closely related to regularization ...
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Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector 

Ancona, Nicola; Poggio, Tomaso (1993-10-01)
In the first part of this paper we show that a new technique exploiting 1D correlation of 2D or even 1D patches between successive frames may be sufficient to compute a satisfactory estimation of the optical flow field. ...
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A Connection Between GRBF and MLP 

Maruyama, Minoru; Girosi, Federico; Poggio, Tomaso (1992-04-01)
Both multilayer perceptrons (MLP) and Generalized Radial Basis Functions (GRBF) have good approximation properties, theoretically and experimentally. Are they related? The main point of this paper is to show that for ...
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A Theory of How the Brain Might Work 

Poggio, Tomaso (1990-12-01)
I wish to propose a quite speculative new version of the grandmother cell theory to explain how the brain, or parts of it, may work. In particular, I discuss how the visual system may learn to recognize 3D objects. The ...
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View-Based Models of 3D Object Recognition and Class-Specific Invariances 

Logothetis, Nikos K.; Vetter, Thomas; Hurlbert, Anya; Poggio, Tomaso (1994-04-01)
This paper describes the main features of a view-based model of object recognition. The model tries to capture general properties to be expected in a biological architecture for object recognition. The basic module is a ...
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A Trainable Object Detection System: Car Detection in Static Images 

Papageorgiou, Constantine P.; Poggio, Tomaso (1999-10-13)
This paper describes a general, trainable architecture for object detection that has previously been applied to face and peoplesdetection with a new application to car detection in static images. Our technique is a ...
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Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders 

Chan, Nicholas; LeBaron, Blake; Lo, Andrew; Poggio, Tomaso (1998-09-01)
Various studies of asset markets have shown that traders are capable of learning and transmitting information through prices in many situations. In this paper we replace human traders with intelligent software agents ...
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Visual Speech Synthesis by Morphing Visemes 

Ezzat, Tony; Poggio, Tomaso (1999-05-01)
We present MikeTalk, a text-to-audiovisual speech synthesizer which converts input text into an audiovisual speech stream. MikeTalk is built using visemes, which are a small set of images spanning a large range of mouth ...
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Sparse Representations of Multiple Signals 

Evgeniou, Theodoros; Poggio, Tomaso (1997-09-01)
We discuss the problem of finding sparse representations of a class of signals. We formalize the problem and prove it is NP-complete both in the case of a single signal and that of multiple ones. Next we develop a simple ...
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Poggio, Tomaso (37)
Girosi, Federico (7)Vetter, Thomas (4)Edelman, Shimon (3)Evgeniou, Theodoros (3)Beymer, David (2)Brunelli, Roberto (2)Fahle, Manfred (2)Hurlbert, Anya (2)Jones, Michael J. (2)... View MoreSubjectAI (6)Artificial Intelligence (6)MIT (6)object recognition (3)computer vision (2)learning (2)symmetry (2)3D object recognition (1)additivesmodels (1)artificial markets (1)... View MoreDate Issued1990 (5)1995 (5)1999 (5)1992 (4)1993 (4)1998 (4)1991 (3)1994 (3)1996 (2)1997 (2)Has File(s)Yes (37)

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