403 search results - page 11 / 81 » Metric and Kernel Learning Using a Linear Transformation |
125
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ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
127
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ICPR
2010
IEEE
15 years 8 months ago
2010
IEEE
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
138
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
182
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PAKDD
2011
ACM
14 years 4 months ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
109
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ACMMSP
2004
ACM
15 years 7 months ago
2004
ACM
Irregular applications frequently exhibit poor performance on contemporary computer architectures, in large part because of their inefficient use of the memory hierarchy. Runtime ...