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Sample locality preserving discriminant analysis for classification
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Release time:2021-05-13
Affiliation of Author(s):
光电工程学院
Journal:
光学精密工程
Key Words:
Dimension reduction ; Dimension reduction method ; Effective dimensions ; Face database ; Feature space ; High dimensional data ; High;dimensional ; Input space ; Locality preserving projections ; Neighborhood graphs ; Optimal mapping ; Recognition rates ; Small Sample Size ; Small sample size problems
Co-author:
辜小花,叶洪伟
First Author:
杨利平
Indexed by:
Journal paper
Document Code:
107205
Volume:
19
Issue:
9
Page Number:
2205-2213
ISSN No.:
1004-924X
Translation or Not:
no
Date of Publication:
2011-01-01
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Regularized locality preserving discriminant analysis for face recognition
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Supervised Graph-optimized locality preserving projections