753 search results - page 89 / 151 » Independent component analysis: algorithms and applications |
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
ISMIR
2005
Springer
14 years 2 months ago
2005
Springer
Source separation techniques like independent component analysis and the more recent non-negative matrix factorization are gaining widespread use for the monaural separation of in...
TCS
2008
13 years 8 months ago
2008
The object of this paper is to appreciate the computational limits inherent in the combinatorics of an applied concurrent (aka agent-based) language . That language is primarily m...
NIPS
2004
13 years 10 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
SMI
2006
IEEE
14 years 2 months ago
2006
IEEE
Mesh segmentation has become an important component in many applications in computer graphics. In the last several years, many algorithms have been proposed in this growing area, ...