75 search results - page 3 / 15 » Joint covariate selection and joint subspace selection for m... |
KDD
2008
ACM
14 years 6 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
TCSV
2008
13 years 6 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
PKDD
2009
Springer
14 years 27 days ago
2009
Springer
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...