613 search results - page 48 / 123 » The Pre-Image Problem in Kernel Methods |
PAKDD
2005
ACM
14 years 2 months ago
2005
ACM
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
ICCV
2003
IEEE
14 years 10 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...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
CIKM
2007
Springer
14 years 3 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
JIIS
2006
13 years 8 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...