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Speed up kernel discriminant analysis
Deng Cai, Xiaofei He,
Jiawei Han
Information Trust Institute
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
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peer-review
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Keyphrases
Kernel Discriminant Analysis
100%
Linear Discriminant Analysis
50%
Spectral Regression Kernel Discriminant Analysis (SRKDA)
50%
Covariance
33%
Computational Cost
16%
Popular
16%
Image Data
16%
Regularization Method
16%
Highly Nonlinear
16%
Discriminant Analysis
16%
Efficient Computation
16%
Computational Results
16%
L1-norm
16%
Dimensionality Reduction
16%
Regularizer
16%
Regression Problem
16%
Input Space
16%
Eigendecomposition
16%
Class Separability
16%
Face Image
16%
Training Samples
16%
Kernel Matrix
16%
Spectral Graph Analysis
16%
Eigenvector Computation
16%
Reproducing Kernel Hilbert Space
16%
Number of Training Samples
16%
Projection Vector
16%
Function Projective
16%
Regularized Regression
16%
Sparse Projection
16%
Handwritten Digits
16%
Sparse Kernel
16%
Computer Science
Speed-up
100%
Discriminant Analysis
100%
Linear Discriminant Analysis
30%
Training Sample
20%
Computational Cost
10%
Regularization
10%
Efficient Computation
10%
Regression Problem
10%
Eigenvector
10%
Reproducing Kernel
10%
Dimensionality Reduction
10%
Hilbert Space
10%
Incremental Version
10%
handwritten digit
10%
Mathematics
Discriminant Analysis
100%
Covariance
15%
Training Sample
15%
Matrix (Mathematics)
7%
Hilbert Space
7%
Eigenvector
7%
Computational Cost
7%
Regularization
7%
Image Data
7%
Data Point
7%
Projective
7%
Dimensionality Reduction
7%
Projection Vector
7%