840 search results - page 31 / 168 » A New Discriminative Kernel From Probabilistic Models |
ACCV
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...
RECOMB
2005
Springer
15 years 10 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
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CVPR
2011
IEEE
14 years 6 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...
IJCAI
2003
14 years 11 months ago
2003
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
IJCV
2006
14 years 9 months ago
2006
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...