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Volumn , Issue , 2010, Pages 1358-1361

Facial expression recognition based orthogonal local fisher discriminant analysis

Author keywords

Facial expression recognition; Local fish discriminant analysis

Indexed keywords

COHN-KANADE DATABASE; FACIAL EXPRESSION RECOGNITION; FEATURE EXTRACTION METHODS; FISHER DISCRIMINANT ANALYSIS; LINEAR DISCRIMINANT ANALYSIS; LOCAL FISH DISCRIMINANT ANALYSIS; MATRIX; MULTI-MODALITY; SPACE DIMENSIONS;

EID: 78651088287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2010.5656884     Document Type: Conference Paper
Times cited : (19)

References (11)
  • 4
    • 36348982900 scopus 로고    scopus 로고
    • Marginal fisher analysis and its variants for human gait recognition and content- based image retrieval
    • D. Xu, S.C Yan ,D.C. Tao S. Lin Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval. IEEE Trans image procs16(11)(2007)2811-2821.
    • (2007) IEEE Trans Image Procs , vol.16 , Issue.11 , pp. 2811-2821
    • Xu, D.1    Yan, S.C.2    Tao, D.C.3    Lin, S.4
  • 5
    • 44649111202 scopus 로고    scopus 로고
    • Locality sensitive semi-supervised feature selection
    • J.Zhao, K.Lu, X.He, locality sensitive semi-supervised feature selection. Neurocomputing,71(2008)1842-1849.
    • (2008) Neurocomputing , vol.71 , pp. 1842-1849
    • Zhao, J.1    Lu, K.2    He, X.3
  • 6
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
    • M.Sugiyama Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis.JMLR 8(2007)1027-1061
    • (2007) JMLR , vol.8 , pp. 1027-1061
    • Sugiyama, M.1
  • 8
    • 77952423823 scopus 로고    scopus 로고
    • Semi-supervised local fisher discriminant analysis for dimensionality reduction
    • M.Sugiyama,S.nakajima Semi-supervised local fisher discriminant analysis for dimensionality reduction. Machine learning 78(2010).35-61.
    • (2010) Machine Learning , vol.78 , pp. 35-61
    • Sugiyama, M.1    Nakajima, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.