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» Cluster-Pairwise Discriminant Analysis
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ICPR
2010
IEEE
12 years 5 months ago
Cluster-Pairwise Discriminant Analysis
Pattern recognition problems often suffer from the larger intra-class variation due to situation variations such as pose, walking speed, and clothing variations in gait recognition...
Yasushi Makihara, Yasushi Yagi
TNN
2010
149views Management» more  TNN 2010»
11 years 8 months ago
A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
Wenming Zheng, Zhouchen Lin, Xiaoou Tang
ICASSP
2011
IEEE
11 years 5 months ago
Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification
Recently, i-vector extraction and Probabilistic Linear Discriminant Analysis (PLDA) have proven to provide state-of-the-art speaker veriļ¬cation performance. In this paper, the s...
Lukas Burget, Oldrich Plchot, Sandro Cumani, Ondre...
NECO
2000
190views more  NECO 2000»
12 years 1 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
PR
2002
122views more  PR 2002»
12 years 1 months ago
High-order Fisher's discriminant analysis
This paper introduces a novel nonlinear extension of Fisher's classical linear discriminant analysis (FDA) known as high-order Fisher's discriminant analysis (HOFDA). Th...
Alejandro Sierra
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