40 search results - page 8 / 8 » A Fast Dual Method for HIK SVM Learning |
152
Voted
ESANN
2006
15 years 2 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
112
Voted
SIGIR
2006
ACM
15 years 7 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
117
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IBPRIA
2009
Springer
15 years 5 months ago
2009
Springer
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
119
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BMCBI
2005
15 years 29 days ago
2005
Background: The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computatio...
133
Voted
MM
2010
ACM
15 years 1 months ago
2010
ACM
This paper presents an interactive image segmentation framework which is ultra-fast and accurate. Our framework, termed "CO3", consists of three components: COupled repr...