Keyphrases
Face Recognition
100%
Face Image
100%
Linear Discriminant Analysis
100%
Pose Variation
100%
Illumination Variation
100%
Kernel Subspace
100%
Discriminant Analysis
71%
Margin Maximization
57%
Eigenvalue Stability
57%
Kernel-based
42%
Kernel Parameter
42%
Generalization Ability
28%
Maximization Algorithm
28%
Kernel Approach
28%
Multiple Parameters
14%
Learning Methods
14%
Recognition Algorithm
14%
FERET Database
14%
Superior Performance
14%
Generalization Performance
14%
Kernel Methods
14%
RBF Kernel
14%
CMU-PIE Database
14%
Direct Linear Discriminant Analysis
14%
Problem Recognition
14%
Subspace LDA
14%
Kernel Principal Component Analysis
14%
Kernel Learning
14%
Input Space
14%
PCA-based
14%
Multiple Kernels
14%
Complex Distributions
14%
High-dimensional Feature Space
14%
Gaussian Radial Basis Function
14%
Kernel Fisher Discriminant
14%
Parameter Estimation Algorithm
14%
Benchmark Evaluation
14%
Last Five Years
14%
Generalized Discriminant Analysis
14%
Discriminant Kernel
14%
Computer Science
Linear Discriminant Analysis
100%
Pose Variation
100%
Illumination Variation
100%
Eigenvalue
44%
Kernel Parameter
33%
Experimental Result
11%
Face Recognition
11%
Generalization Performance
11%
Estimation Algorithm
11%
Component Analysis
11%
Principal Component
11%
Radial Basis Function
11%
Recognition Problem
11%
Superior Performance
11%
Parameter Estimation
11%
Recognition Algorithm
11%
Dimensional Feature Space
11%
Generalized Discriminant Analysis
11%
Evaluation Benchmark
11%