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Volumn , Issue , 2008, Pages 1248-1255

Efficient multiclass maximum margin clustering

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINED OPTIMIZATION; MACHINE LEARNING; CONVEX OPTIMIZATION; LEARNING SYSTEMS; METALLIC MATRIX COMPOSITES; ROBOT LEARNING;

EID: 56449122823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390313     Document Type: Conference Paper
Times cited : (64)

References (17)
  • 1
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    • On the algorithmic implementation of multiclass kernel-based vector machines
    • Crammer, K., & Singer, Y. (2001). On the algorithmic implementation of multiclass kernel-based vector machines. JMLR, 2, 265-292.
    • (2001) JMLR , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 2
    • 78149301227 scopus 로고    scopus 로고
    • A min-max cut algorithm for graph partitioning and data mining
    • Ding, C., He, X., Zha, H., Gu, M., & Simon, H. D. (2001). A min-max cut algorithm for graph partitioning and data mining. ICDM (pp. 107-114).
    • (2001) ICDM , pp. 107-114
    • Ding, C.1    He, X.2    Zha, H.3    Gu, M.4    Simon, H.D.5
  • 4
    • 33749563073 scopus 로고    scopus 로고
    • Training linear svms in linear time
    • Joachims, T. (2006). Training linear svms in linear time. SIGKDD 12.
    • (2006) SIGKDD 12
    • Joachims, T.1
  • 6
    • 84876811202 scopus 로고    scopus 로고
    • Rcv1: A new benchmark collection for text categorization research
    • Lewis, D. D., Yang, Y., Rose, T., & Li, F. (2004). Rcv1: A new benchmark collection for text categorization research. JMLR, 5, 361-397.
    • (2004) JMLR , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.3    Li, F.4
  • 7
  • 8
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • Rand, W. M. (1971). Objective criteria for the evaluation of clustering methods. JASA, 66, 846-850.
    • (1971) JASA , vol.66 , pp. 846-850
    • Rand, W.M.1
  • 10
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • Shi, J., & Malik, J. (2000). Normalized cuts and image segmentation. PAMI.
    • (2000) PAMI
    • Shi, J.1    Malik, J.2
  • 12
    • 24944537843 scopus 로고    scopus 로고
    • Large margin methods for structured and interdependent output variables
    • Tsochantaridis, I., Joachims, T., Hofmann, T., & Altun, Y. (2005). Large margin methods for structured and interdependent output variables. JMLR, 6, 1453-1484.
    • (2005) JMLR , vol.6 , pp. 1453-1484
    • Tsochantaridis, I.1    Joachims, T.2    Hofmann, T.3    Altun, Y.4
  • 13
    • 84864041449 scopus 로고    scopus 로고
    • Generalized maximum margin clustering and unsupervised kernel learning
    • Valizadegan, H., & Jin, R. (2007). Generalized maximum margin clustering and unsupervised kernel learning. NIPS 19 (pp. 1417-1424).
    • (2007) NIPS 19 , pp. 1417-1424
    • Valizadegan, H.1    Jin, R.2
  • 15
    • 56449089515 scopus 로고    scopus 로고
    • Unsupervised and semi-supervised multi-class support vector machines
    • Xu, L., & Schuunnans, D. (2005). Unsupervised and semi-supervised multi-class support vector machines. AAAI.
    • (2005) AAAI
    • Xu, L.1    Schuunnans, D.2
  • 16
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    • Maximum margin clustering made practical
    • Zhang, K., Tsang, I. W., & Kowk, J. T. (2007). Maximum margin clustering made practical. ICML 24.
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    • Zhang, K.1    Tsang, I.W.2    Kowk, J.T.3
  • 17
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    • E cient maximum margin clustering via cutting plane algorithm
    • Zhao, B., Wang, F., & Zhang, C. (2008). E cient maximum margin clustering via cutting plane algorithm. SDM (pp. 751-762).
    • (2008) SDM , pp. 751-762
    • Zhao, B.1    Wang, F.2    Zhang, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.