99 search results - page 12 / 20 » Learning the kernel via convex optimization |
124
Voted
JMLR
2012
13 years 2 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
78
Voted
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
111
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ICPR
2008
IEEE
16 years 26 days 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...
ICCV
2007
IEEE
15 years 6 months ago
2007
IEEE
We investigate the problem of learning optimal descriptors for a given classification task. Many hand-crafted descriptors have been proposed in the literature for measuring visua...
108
Voted
ACML
2009
Springer
15 years 3 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...