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Kernel fisher linear discriminant with fractional power polynomial models for face recognition
Chengjun Liu
Computer Science
Research output
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Contribution to journal
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Conference article
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peer-review
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Scopus citations
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Dive into the research topics of 'Kernel fisher linear discriminant with fractional power polynomial models for face recognition'. Together they form a unique fingerprint.
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Mathematics
Face Recognition
100%
Polynomial Model
75%
Fractional Powers
69%
Discriminant
60%
kernel
40%
Gram Matrix
15%
Positive semidefinite
12%
Kernel Function
12%
Facial Expression
11%
Polynomial
9%
Gaussian Kernel
7%
Illumination
7%
Support Vector Machine
7%
Similarity Measure
7%
Performance
7%
Principal Component Analysis
6%
Experimental Results
5%
Engineering & Materials Science
Face recognition
56%
Statistical Models
53%
Polynomials
34%
Principal component analysis
13%
Support vector machines
11%
Lighting
11%
Physics & Astronomy
polynomials
52%
kernel functions
28%
principal components analysis
12%
matrices
10%
performance
8%
illumination
7%
Chemical Compounds
Illumination
52%