709 search results - page 54 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
155
click to vote
CIARP
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
180
click to vote
ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
144
click to vote
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
122
click to vote
CIRA
2007
IEEE
15 years 10 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
129
click to vote
GBRPR
2009
Springer
15 years 10 months ago
2009
Springer
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...