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128
Voted
TKDE
2008
15 years 2 months ago
2008
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
141
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
134
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ICPR
2006
IEEE
15 years 8 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
134
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
150
Voted
CVPR
2009
IEEE
15 years 9 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...