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Volumn , Issue , 2012, Pages 639-643

Semi-supervised metric learning VIA topology representation

Author keywords

cluster; density; manifold; semi supervised metric learning

Indexed keywords

APPROPRIATE DISTANCES; CLUSTER; CRITICAL PROBLEMS; DATA SETS; DISTANCE METRIC LEARNING; HUMAN ACTIONS; LOCAL TOPOLOGY; MANIFOLD; METRIC LEARNING; REGULARIZER; SEMI-SUPERVISED;

EID: 84869847963     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (20)
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  • 4
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    • A global geometric framework for nonlinear dimensionality reduction
    • J. B. Tenenbaum, V. Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, 2000.
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    • Tenenbaum, J.B.1    Silva, V.2    Langford, J.C.3
  • 11
    • 49449088902 scopus 로고    scopus 로고
    • Learning a mahalanobis distance metric for data clustering and classification
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    • Xiang, S.1    Nie, F.2    Zhang, C.3
  • 12
    • 33846040203 scopus 로고    scopus 로고
    • A kernel approach for semisupervised metric learning
    • D.Y. Yeung and H. Chang, "A kernel approach for semisupervised metric learning," IEEE Transactions on Neural Networks, vol. 18, no. 1, pp. 141-149, 2007.
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.1 , pp. 141-149
    • Yeung, D.Y.1    Chang, H.2
  • 16
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    • Semi-spervised learning via regularized boosting working on mutiple semi-supervised assumptions
    • K. Chen and S. H. Wang, "Semi-spervised learning via regularized boosting working on mutiple semi-supervised assumptions," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 1, 2011.
    • (2011) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.33 , Issue.1
    • Chen, K.1    Wang, S.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.