418 search results - page 20 / 84 » Feature selection with nonparametric statistics |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
ISNN
2007
Springer
15 years 3 months ago
2007
Springer
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
CVPR
2012
IEEE
13 years 2 days ago
2012
IEEE
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
80
Voted
ICIAP
2005
ACM
15 years 9 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
76
Voted
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...