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» Distributed linear discriminant analysis
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PAMI
2008
162views more  PAMI 2008»
13 years 5 months ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 2 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
BMCBI
2008
110views more  BMCBI 2008»
13 years 5 months ago
Methylation Linear Discriminant Analysis (MLDA) for identifying differentially methylated CpG islands
Background: Hypermethylation of promoter CpG islands is strongly correlated to transcriptional gene silencing and epigenetic maintenance of the silenced state. As well as its role...
Wei Dai, Jens M. Teodoridis, Janet Graham, Constan...
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
14 years 7 hour ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
ICML
2005
IEEE
14 years 6 months ago
Multimodal oriented discriminant analysis
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
Fernando De la Torre, Takeo Kanade