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Volumn 4756 LNCS, Issue , 2007, Pages 466-476

On using a pre-clustering technique to optimize LDA-based classifiers for appearance-based face recognition

Author keywords

Face recognition; Linear Discriminant Analysis (LDA); Preclustered LDA (PLDA)

Indexed keywords

CLUSTERING ALGORITHMS; DATABASE SYSTEMS; FACE RECOGNITION; INFORMATION ANALYSIS;

EID: 38449115345     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (17)
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    • Kim, T.-K., Kittler, J.: Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image. Pattern Anal. and Machine Intell. 27(3), 318-327 (2005)
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    • On solving the small sample size problem using a dissimilarity representation for face recognition
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    • Kim, S.-W.: On solving the small sample size problem using a dissimilarity representation for face recognition. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2006. LNCS, vol. 4179, pp. 1174-1185. Springer, Heidelberg (2006)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.