429 search results - page 14 / 86 » Unsupervised feature selection for principal components anal... |
ADBIS
2003
Springer
14 years 25 days ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
ICDAR
2003
IEEE
14 years 26 days ago
2003
IEEE
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
In this paper, we describe a new approach for color texture featureextraction and selection. We definecolortexturefeatures as texture features which are computed by taking into ac...
NIPS
2004
13 years 9 months ago
2004
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...