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Volumn , Issue , 2009, Pages 1357-1362

Non-metric label propagation

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS;

EID: 78651466404     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (22)
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    • On-line handwriting recognition with support vector machines - A kernel approach
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    • Bahlmann, C.1    Haasdonk, B.2    Burkhardt, H.3
  • 3
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    • Semisupervised learning for multi-component data classification
    • A. Fujino, N. Ueda, and K. Saito. Semisupervised learning for multi-component data classification. In IJCAI, pages 2754-2759, 2007.
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  • 4
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    • Classification on pairwise proximity data
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    • Graepel, T.1    Herbrich, R.2    Obermayer, K.3
  • 7
    • 0041775676 scopus 로고    scopus 로고
    • Diffusion kernels on graphs and other discrete input spaces
    • R. I. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete input spaces. In ICML, pages 315-322, 2002.
    • (2002) ICML , pp. 315-322
    • Kondor, R.I.1    Lafferty, J.2
  • 9
    • 77958581102 scopus 로고    scopus 로고
    • Inducing metric violations in human similarity judgements
    • J. Laub, J. Macke, K.-R.Müller, and F. A.Wichmann. Inducing metric violations in human similarity judgements. In NIPS 19, pages 777-784. 2007.
    • (2007) NIPS , vol.19 , pp. 777-784
    • Laub, J.1    Macke, J.2    Müller, K.-R.3    Wichmann, F.A.4
  • 13
    • 33845598314 scopus 로고    scopus 로고
    • Learning non-metric partial similarity based on maximal margin criterion
    • X. Tan, S. Chen, Z.-H. Zhou, and J. Liu. Learning non-metric partial similarity based on maximal margin criterion. In CVPR, pages 138-145, 2006.
    • (2006) CVPR , pp. 138-145
    • Tan, X.1    Chen, S.2    Zhou, Z.-H.3    Liu, J.4
  • 15
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    • Features of similarity
    • A. Tversky. Features of similarity. Psychological Review, 84(4):327-352, 1977.
    • (1977) Psychological Review , vol.84 , Issue.4 , pp. 327-352
    • Tversky, A.1
  • 17
    • 78751681810 scopus 로고    scopus 로고
    • Learning with non-metric proximity matrices
    • G. Wu, E. Y. Chang, and Z. Zhang. Learning with non-metric proximity matrices. In ACM Multimedia, pages 411-414, 2005.
    • (2005) ACM Multimedia , pp. 411-414
    • Wu, G.1    Chang, E.Y.2    Zhang, Z.3
  • 18
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    • Discussion of a set of points in terms of their mutual distances
    • G. Young and A. S. Householder. Discussion of a set of points in terms of their mutual distances. Psychometrika, 3:19-22, 1938.
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  • 19
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    • Spectral clustering and transductive learning with multiple views
    • D. Zhou and C. J. C. Burges. Spectral clustering and transductive learning with multiple views. In ICML, pages 1159-1166, 2007.
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    • Zhou, D.1    Burges, C.J.C.2
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  • 21
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    • Semisupervised learning using gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. Lafferty. Semisupervised learning using gaussian fields and harmonic functions. In ICML, pages 912-919, 2003.
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    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3
  • 22
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    • Technical Report 1530, Department of Computer Sciences, University of Wisconsin at Madison, Madison, WI
    • X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, Department of Computer Sciences, University of Wisconsin at Madison, Madison, WI, 2005.
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    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.