862 search results - page 18 / 173 » Regularized Learning with Networks of Features |
108
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ICMLA
2009
14 years 9 months ago
2009
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
104
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ACL
2001
15 years 1 months ago
2001
Many machine learning methods have recently been applied to natural language processing tasks. Among them, the Winnow algorithm has been argued to be particularly suitable for NLP...
125
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
ICPR
2000
IEEE
15 years 4 months ago
2000
IEEE
Many realistic visual recognition tasks are “open” in the sense that the number and nature of the categories to be learned are not initially known, and there is no closed set ...
103
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ML
2010
ACM
14 years 6 months ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...