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Volumn 29, Issue 13, 2008, Pages 1832-1835

Kernel maximum scatter difference based feature extraction and its application to face recognition

Author keywords

Face recognition; Feature extraction; Fisher discriminant analysis; Kernel maximum scatter difference criterion; Kernel principal component analysis

Indexed keywords

DATABASE SYSTEMS; DISCRIMINANT ANALYSIS; FACE RECOGNITION; FISHER INFORMATION MATRIX; MAPS;

EID: 48649094688     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.05.010     Document Type: Article
Times cited : (20)

References (12)
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    • Maximum scatter difference, large margin linear projection and support vector machines
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    • Song F.X., Cheng K., Yang J.Y., et al. Maximum scatter difference, large margin linear projection and support vector machines. Acta Automat. Sin. 30 6 (2004) 890-896 (in Chinese)
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    • Zhao, W., Chellappa, R., Phillips, J., 1999. Subspace Linear Discriminant Analysis for Face Recognition. Technical Report CS-TR4009. University of Maryland.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.