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Volumn , Issue , 2008, Pages 2231-2235

Boosting simple projections for multi-class dimensionality reduction

Author keywords

Adaboost.M2; Feature extraction; Multi class classification

Indexed keywords

ADABOOST; ADABOOST.M2; BAYES ERROR; DATA DISTRIBUTION; DIMENSIONALITY REDUCTION; EIGENVALUE DECOMPOSITION; LOW-DIMENSIONAL SPACES; MULTI-CLASS; MULTI-CLASS CLASSIFICATION; NEAREST NEIGHBORS; NOVEL METHODS; REAL WORLD DATA; SUBSPACE BASED METHODS; TRAINING ERRORS;

EID: 69949136871     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2008.4811624     Document Type: Conference Paper
Times cited : (2)

References (12)
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  • 7
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  • 11
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    • Viola, P.1    Jones, M.2
  • 12
    • 0001765951 scopus 로고    scopus 로고
    • A direct lda algorithm for high-dimensional data - with application to face recognition
    • H. Yu and J. Yang, "A direct lda algorithm for high-dimensional data - with application to face recognition," Pattern Recognition, vol. 34, pp. 2067-2070, 2001.
    • (2001) Pattern Recognition , vol.34 , pp. 2067-2070
    • Yu, H.1    Yang, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.