175 search results - page 11 / 35 » A DC-programming algorithm for kernel selection |
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
PAMI
2008
13 years 8 months ago
2008
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
BMCBI
2008
13 years 8 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
JMLR
2006
13 years 8 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...