454 search results - page 46 / 91 » Principal Component Analysis Based on L1-Norm Maximization |
74
Voted
PR
2006
14 years 9 months ago
2006
Several pattern classifiers give high classification accuracy but their storage requirements and processing time are severely expensive. On the other hand, some classifiers requir...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
78
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
PR
2007
14 years 9 months ago
2007
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
ISCA
2007
IEEE
15 years 4 months ago
2007
IEEE
The recently released SPEC CPU2006 benchmark suite is expected to be used by computer designers and computer architecture researchers for pre-silicon early design analysis. Partia...