403 search results - page 17 / 81 » Metric and Kernel Learning Using a Linear Transformation |
130
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ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
121
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COLT
2003
Springer
15 years 7 months ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
109
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PKDD
2009
Springer
15 years 8 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
133
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NIPS
2008
15 years 3 months ago
2008
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
128
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PRIB
2009
Springer
15 years 6 months ago
2009
Springer
Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...