514 search results - page 16 / 103 » Robust Feature Selection by Mutual Information Distributions |
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
IWBRS
2005
Springer
14 years 1 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
AI
2009
Springer
14 years 2 months ago
2009
Springer
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
ICIP
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorpo...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...