2825 search results - page 75 / 565 » Robust Feature Selection Algorithms |
ACL
2004
13 years 10 months ago
2004
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
JUCS
2008
13 years 9 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
CATA
2009
13 years 10 months ago
2009
The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
ICCV
2007
IEEE
14 years 11 months 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...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...