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Volumn 4778 LNCS, Issue , 2007, Pages 205-219

Single image subspace for face recognition

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DATABASE SYSTEMS; FEATURE EXTRACTION;

EID: 38149012175     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75690-3_16     Document Type: Conference Paper
Times cited : (31)

References (25)
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  • 9
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    • Liu, J., Chen, S.C.: Discriminant common vecotors versus neighbourhood components analysis and laplacianfaces: A comparative study in small sample size problem. Image and Vision Computing 24(3), 249-262 (2006)
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    • Liu, J.1    Chen, S.C.2
  • 11
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    • Recognizing imprecisely localized, partially occluded and expression variant faces from a single sample per class
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    • Martinez, A.M.1
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    • Incorporating prior information in machine learning by creating virtual examples
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    • Niyogi, P.1    Girosi, F.2    Poggio, T.3
  • 15
    • 0032045780 scopus 로고    scopus 로고
    • The FERET database and evaluation procedure for face recognition algorithms
    • Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.: The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing 16(5), 295-306 (1998)
    • (1998) Image and Vision Computing , vol.16 , Issue.5 , pp. 295-306
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    • Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft kNN ensemble
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  • 18
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    • Face recognition from a single image per person: A survey
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.