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Volumn 4, Issue , 2012, Pages 2798-2806

FastEx: Hash clustering with exponential families

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING MODEL; EXPONENTIAL FAMILY; HIGH THROUGHPUT; K-MEANS CLUSTERING; PROPOSAL DISTRIBUTION; RANDOM PROJECTIONS; SCALABLE ALGORITHMS;

EID: 84877741174     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (23)
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    • Das, A.1    Datar, M.2    Garg, A.3    Rajaram, S.4
  • 4
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    • Correlation clustering-minimizing disagreements on arbitrary weighted graphs
    • volume 2832 of Lecture Notes in Computer Science. Springer
    • D. Emanuel and A. Fiat. Correlation clustering-minimizing disagreements on arbitrary weighted graphs. Algorithms-ESA 2003, 11th Annual European Symposium, volume 2832 of Lecture Notes in Computer Science, pages 208-220. Springer, 2003.
    • (2003) Algorithms-ESA 2003, 11th Annual European Symposium , pp. 208-220
    • Emanuel, D.1    Fiat, A.2
  • 5
    • 0001457509 scopus 로고
    • Some methods of classification and analysis of multivariate observations
    • L. M. LeCam and J. Neyman, editors, . U. California Press, Berkeley, CA
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    • (1967) Proc. 5th Berkeley Symposium on Math., Stat., and Prob. , pp. 281
    • Macqueen, J.1
  • 7
    • 0000864140 scopus 로고
    • The necessary and sufficient conditions for consistency in the empirical risk minimization method
    • V. Vapnik and A. Chervonenkis. The necessary and sufficient conditions for consistency in the empirical risk minimization method. Pattern Recognition and Image Analysis, 1(3):283-305, 1991.
    • (1991) Pattern Recognition and Image Analysis , vol.1 , Issue.3 , pp. 283-305
    • Vapnik, V.1    Chervonenkis, A.2
  • 10
    • 65749118363 scopus 로고    scopus 로고
    • Graphical models, exponential families, and variational inference
    • M. J. Wainwright and M. I. Jordan. Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning, 1(1 - 2):1-305, 2008.
    • (2008) Foundations and Trends in Machine Learning , vol.1 , Issue.1-2 , pp. 1-305
    • Wainwright, M.J.1    Jordan, M.I.2
  • 14
    • 0001944742 scopus 로고    scopus 로고
    • Similarity search in high dimensions via hashing
    • M. P. Atkinson, M. E. Orlowska, P. Valduriez, S. B. Zdonik, and M. L. Brodie, editors, Edinburgh, Scotland. Morgan Kaufmann
    • A. Gionis, P. Indyk, and R. Motwani. Similarity search in high dimensions via hashing. In M. P. Atkinson, M. E. Orlowska, P. Valduriez, S. B. Zdonik, and M. L. Brodie, editors, Proceedings of the 25th VLDB Conference, pages 518-529, Edinburgh, Scotland, 1999. Morgan Kaufmann.
    • (1999) Proceedings of the 25th VLDB Conference , pp. 518-529
    • Gionis, A.1    Indyk, P.2    Motwani, R.3
  • 15
    • 48149106974 scopus 로고    scopus 로고
    • Fast Gaussian process regression using kd-trees
    • Y. Weiss, B. Schölkopf, and J. Platt, editors, Cambridge, MA. MIT Press
    • Y. Shen, A. Ng, and M. Seeger. Fast Gaussian process regression using kd-trees. In Y. Weiss, B. Schölkopf, and J. Platt, editors, Advances in Neural Information Processing Systems 18, pages 1227-1234, Cambridge, MA, 2005. MIT Press.
    • (2005) Advances in Neural Information Processing Systems , vol.18 , pp. 1227-1234
    • Shen, Y.1    Ng, A.2    Seeger, M.3
  • 17
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    • Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
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    • (1995) Journal of the ACM , vol.42 , Issue.6
    • Goemans, M.X.1    Williamson, D.P.2
  • 18
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    • Comparing clusterings by the variation of information
    • M. Meila. Comparing clusterings by the variation of information. In COLT, 2003.
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    • Online inference for the infinite cluster-topic model: Storylines from streaming text
    • A. Ahmed, Q. Ho, C. H. Teo, J. Eisenstein, A. J. Smola, and E. P. Xing. Online inference for the infinite cluster-topic model: Storylines from streaming text. In AISTATS, 2011.
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    • Ahmed, A.1    Ho, Q.2    Teo, C.H.3    Eisenstein, J.4    Smola, A.J.5    Xing, E.P.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.