4542 search results - page 118 / 909 » Unsupervised Feature Selection Using Feature Similarity |
ICCV
2007
IEEE
15 years 3 days ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
DMIN
2006
13 years 11 months ago
2006
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
KDD
2010
ACM
14 years 2 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
CIKM
2011
Springer
12 years 10 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
INFORMS
1998
13 years 9 months ago
1998
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...