403 search results - page 17 / 81 » Metric and Kernel Learning Using a Linear Transformation |
162
click to vote
ICPR
2008
IEEE
16 years 6 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...
146
click to vote
COLT
2003
Springer
15 years 10 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 ...
134
click to vote
PKDD
2009
Springer
15 years 11 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...
170
click to vote
NIPS
2008
15 years 6 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...
159
click to vote
PRIB
2009
Springer
15 years 9 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 ...