6113 search results - page 206 / 1223 » Learning Features for Tracking |
208
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IBPRIA
2009
Springer
15 years 11 months ago
2009
Springer
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
175
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ACL
2008
15 years 8 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
156
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ECML
1998
Springer
15 years 10 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
147
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
157
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NIPS
2001
15 years 7 months ago
2001
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...