735 search results - page 20 / 147 » Margin based feature selection - theory and algorithms |
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
IEEEICCI
2006
IEEE
14 years 1 months ago
2006
IEEE
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we applied classification techniques on predictio...
NIPS
2000
13 years 9 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
IH
2004
Springer
14 years 29 days ago
2004
Springer
In this paper, we introduce a new feature-based steganalytic method for JPEG images and use it as a benchmark for comparing JPEG steganographic algorithms and evaluating their embe...
JMLR
2010
13 years 2 months ago
2010
We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...