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Volumn 6444 LNCS, Issue PART 2, 2010, Pages 517-524

Semi-supervised classification by local coordination

Author keywords

local linear coordinate; manifold learning; mixture of factor analyzers; semi supervised classification

Indexed keywords

DIMENSION REDUCTION; GRAPH-BASED ALGORITHMS; GRAPH-BASED METHODS; LOCAL COORDINATION; LOCAL LINEAR; MANIFOLD LEARNING; MIXTURE OF FACTOR ANALYZERS; NONLINEAR PROJECTIONS; SAMPLE SPACE; SEMI-SUPERVISED CLASSIFICATION; SEMI-SUPERVISED LEARNING; TRAINING SETS; UNLABELED DATA; SEMI- SUPERVISED LEARNING;

EID: 78650213896     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17534-3_64     Document Type: Conference Paper
Times cited : (19)

References (19)
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  • 10
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    • Harmonic mixtures: Combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
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  • 17
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    • Linear local tangent space alignment and application to face recognition
    • Zhang, T., Yang, J., Zhao, D., Ge, X.: Linear local tangent space alignment and application to face recognition. Neurocomputing 70, 1547-1583 (2007)
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    • Zhang, T.1    Yang, J.2    Zhao, D.3    Ge, X.4
  • 18
    • 13444266062 scopus 로고    scopus 로고
    • Incremental semi-supervised subspace learning for image retrieval
    • October
    • He, X.: Incremental semi-supervised subspace learning for image retrieval. In: Proceedings of the ACM Conference on Multimedia, New York, pp. 10-16 (October 2004)
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    • He, X.1
  • 19


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.