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Learning kernel subspace for face recognition
Jianwu Li
*
, Wangli Hao, Xiao Zhang
*
Corresponding author for this work
School of Computer Science and Technology
Beijing Institute of Technology
Research output
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Contribution to journal
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Article
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peer-review
8
Citations (Scopus)
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Computer Science
Face Recognition
100%
Principle Component Analysis
75%
Linear Discriminant Analysis
50%
Subspace Method
50%
Recognition System
50%
Final Solution
50%
Experimental Result
25%
Feature Extraction
25%
Kernel Method
25%
Recognition Accuracy
25%
World Application
25%
Training Dataset
25%
Extraction Process
25%
radial base function neural network
25%
Training Example
25%
Engineering
Component Analysis
100%
Subspace Method
66%
Experimental Result
33%
Feature Extraction
33%
Recognition Accuracy
33%
Radial Basis Function
33%
Real World Application
33%
Extraction Process
33%