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Face recognition and gender classification using orthogonal nearest neighbour feature line embedding regular paper
Gang Feng Ho,
Ying Nong Chen
, Chin Chuan Han,
Kuo Chin Fan
太空及遙測研究中心
資訊工程學系
網路學習科技研究所
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
2
引文 斯高帕斯（Scopus）
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Keyphrases
Computational Load
100%
Face Recognition
100%
Non-orthogonal
100%
Nearest Neighbor
100%
Feature Line Embedding
100%
Nearest Feature Space
100%
Gender Classification
100%
Recognition Classification
100%
Space Embedding
100%
Face Gender
100%
Embedding Method
50%
Scattering Matrix
50%
Selection Strategy
50%
Invalid
50%
Discriminatory Power
50%
Eigenvector
50%
Topological Structure
50%
Farthest Point
50%
Embedding Algorithm
50%
Orthogonal Eigenvectors
50%
Interpolation Error
50%
Orthogonal Basis
50%
Extrapolation Error
50%
Manifold Learning Algorithm
50%
Nearest Neighbor Selection
50%
Discriminant Vectors
50%
Neighbor Selection
50%
Eigenvector Problems
50%
Computer Science
Computational Load
100%
Face Recognition
100%
Feature Space
100%
Selection Strategy
100%
Eigenvector
100%
Learning Algorithm
50%
Embedding Method
50%
Embedding Algorithm
50%
Topological Structure
50%
Orthogonal Basis
50%
Mathematics
Nearest Neighbor
100%
Regular Embedding
100%
Feature Space
66%
Eigenvector
66%
Matrix (Mathematics)
33%
Manifold
33%
Topological Structure
33%
Interpolation Error
33%
Orthogonal Basis
33%
Far Point
33%
Engineering
Nearest Neighbor
100%
Computational Load
66%
Eigenvector
66%
Feature Space
66%
Selection Strategy
66%
Learning Algorithm
33%
Scatter Matrix
33%
Orthogonal Basis
33%