361 search results - page 15 / 73 » MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm |
141
Voted
FOCM
2006
15 years 1 months ago
2006
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
FOCM
2008
15 years 1 months ago
2008
This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
129
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
117
Voted
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
143
Voted
ML
2010
ACM
15 years 9 days ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...