793 search results - page 58 / 159 » Confidence-weighted linear classification |
137
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
139
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ICCV
2005
IEEE
16 years 5 months ago
2005
IEEE
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
138
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
125
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SDM
2010
SIAM
15 years 5 months ago
2010
SIAM
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
146
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HIS
2004
15 years 5 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...