120 search results - page 14 / 24 » Discriminant binary data representation for speaker recognit... |
TIFS
2010
14 years 8 months ago
2010
Abstract—Biometric template protection is one of the most important issues in deploying a practical biometric system. To tackle this problem, many algorithms, that do not store t...
122
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IJON
2010
14 years 8 months ago
2010
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
102
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KDD
2004
ACM
15 years 10 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
PR
2007
14 years 9 months ago
2007
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...