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Volumn 2, Issue , 2012, Pages 1529-1537

Feature-aware label space dimension reduction for multi-label classification

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSIVE SENSING; FEATURE COMBINATION; LABEL SPACE; MULTI-LABEL CLASSIFICATIONS; REAL-WORLD DATASETS; UPPER BOUND;

EID: 84877784525     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (251)

References (27)
  • 5
    • 84867116137 scopus 로고    scopus 로고
    • Multi-Label classification with principal label space transformation
    • F. Tai and H.-T. Lin. Multi-Label classification with principal label space transformation. In Neural Computation, 2012.
    • (2012) Neural Computation
    • Tai, F.1    Lin, H.-T.2
  • 6
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling. Relations between two sets of variates. Biometrika, 1936.
    • (1936) Biometrika
    • Hotelling, H.1
  • 9
    • 79952190499 scopus 로고    scopus 로고
    • Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds
    • E. Barshan, A. Ghodsi, Z. Azimifar, and M. Zolghadri Jahromi. Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds. Pattern Recognition, 2011.
    • (2011) Pattern Recognition
    • Barshan, E.1    Ghodsi, A.2    Azimifar, Z.3    Zolghadri Jahromi, M.4
  • 11
    • 4544371135 scopus 로고    scopus 로고
    • Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces
    • K. Fukumizu, F. Bach, and M. Jordan. Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces. Journal of Machine Learning Research, 2004.
    • (2004) Journal of Machine Learning Research
    • Fukumizu, K.1    Bach, F.2    Jordan, M.3
  • 12
    • 78649325096 scopus 로고    scopus 로고
    • Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis
    • L. Sun, S. Ji, and J. Ye. Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011.
    • (2011) IEEE Transactions on Pattern Analysis and Machine Intelligence
    • Sun, L.1    Ji, S.2    Ye, J.3
  • 16
    • 0000020007 scopus 로고
    • Canonical analysis of several sets of variables
    • J. Kettenring. Canonical analysis of several sets of variables. Biometrika, 1971.
    • (1971) Biometrika
    • Kettenring, J.1
  • 20
    • 0000802374 scopus 로고
    • The approximation of one matrix by another of lower rank
    • C. Eckart and G. Young. The approximation of one matrix by another of lower rank. Psychometrika, 1936.
    • (1936) Psychometrika
    • Eckart, C.1    Young, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.