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109
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CVPR
2008
IEEE
15 years 2 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
89
Voted
LREC
2010
155views Education» more  LREC 2010»
15 years 1 months ago
Efficient Minimal Perfect Hash Language Models
The recent availability of large collections of text such as the Google 1T 5-gram corpus (Brants and Franz, 2006) and the Gigaword corpus of newswire (Graff, 2003) have made it po...
David Guthrie, Mark Hepple, Wei Liu
NIPS
2008
15 years 1 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
IADIS
2004
15 years 1 months ago
Constructing digital libraries with quality
Digital Libraries can be considered islands of specialized collections on the Web, which have their own management policy to control publishing and access, offering an environment...
Ewerton M. Salvador, José Jorge L. D. Jr., ...
NIPS
2001
15 years 1 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr