399 search results - page 16 / 80 » Robust Boosting for Learning from Few Examples |
157
Voted
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
256
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FOCS
2010
IEEE
15 years 4 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
167
Voted
FOCS
1999
IEEE
15 years 10 months ago
1999
IEEE
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
164
Voted
CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
190
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
We introduce a novel set of features for robust object recognition. Each element of this set is a complex feature obtained by combining position- and scale-tolerant edgedetectors ...