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» Scenario based Analysis of Linear Computations
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111
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ICASSP
2011
IEEE
14 years 3 months ago
Distributed linear discriminant analysis
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
Sergio Valcarcel Macua, Pavle Belanovic, Santiago ...
CVPR
2004
IEEE
16 years 1 months ago
Dual-Space Linear Discriminant Analysis for Face Recognition
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
Xiaogang Wang, Xiaoou Tang
DATE
2006
IEEE
119views Hardware» more  DATE 2006»
15 years 3 months ago
Compiler-driven FPGA-area allocation for reconfigurable computing
In this paper, we propose two FPGA-area allocation algorithms based on profiling results for reducing the impact on performance of dynamic reconfiguration overheads. The problem o...
Elena Moscu Panainte, Koen Bertels, Stamatis Vassi...
134
Voted
IJON
2010
150views more  IJON 2010»
14 years 10 months ago
Linear discriminant analysis using rotational invariant L1 norm
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....
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
103
Voted
ICASSP
2011
IEEE
14 years 3 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 verification performance. In this paper, the s...
Lukas Burget, Oldrich Plchot, Sandro Cumani, Ondre...