189 search results - page 8 / 38 » Combining Multiple Kernels by Augmenting the Kernel Matrix |
145
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ICRA
2009
IEEE
14 years 11 months ago
2009
IEEE
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
123
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JMLR
2006
15 years 1 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
112
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
116
Voted
KDD
2008
ACM
16 years 2 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
101
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ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...