Keyphrases
Face Recognition
100%
Fractional Powers
100%
Gabor
100%
Kernel Principal Component Analysis
100%
Power Polynomial
100%
Polynomial Model
100%
Principal Coordinate Analysis (PCoA)
90%
Gabor Wavelet
27%
Polynomial Kernel
27%
Sigmoid Kernel
27%
Wavelet Basis
18%
Kernel Function
18%
Positive Semidefinite
18%
Gram Matrix
18%
Eigenvector
9%
Support Vector Machine
9%
Three-class
9%
Performance Index
9%
Gaussian Kernel
9%
Facial Expression
9%
Spatial Frequency
9%
Facial Expression Change
9%
FERET Database
9%
Frontal Face Images
9%
Face Image
9%
Spatial Locality
9%
Face Recognition Accuracy
9%
FERET
9%
Facial Features
9%
Spatial Orientation
9%
Gabor Wavelet Features
9%
Absolute Performance
9%
CMU-PIE Database
9%
Orientation Selectivity
9%
Positive Eigenvalues
9%
Profile View
9%
Small Incision Lenticule Extraction (SMILE)
9%
Frontal View
9%
Computer Science
Face Recognition
100%
Principal Components
100%
Component Analysis
100%
Kernel Function
15%
Facial Expression
15%
Eigenvector
7%
Eigenvalue
7%
Support Vector Machine
7%
Recognition Performance
7%
Wavelet Representation
7%
Spatial Frequency
7%
Spatial Locality
7%
Facial Feature
7%
Gaussian Kernel
7%
Orientation Selectivity
7%
Expression Change
7%