133 search results - page 3 / 27 » Margin and Radius Based Multiple Kernel Learning |
COLT
1999
Springer
13 years 11 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
TIP
2011
13 years 2 months ago
2011
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
ACCV
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper, we propose a new method for image classification, in which matrix based kernel features are designed to capture the multiple similarities between images in...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition sy...