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Volumn , Issue , 2011, Pages 2692-2697

Mind the eigen-gap, or how to accelerate semi-supervised spectral learning algorithms

Author keywords

[No Author keywords available]

Indexed keywords

BACK-GROUND KNOWLEDGE; EIGENVECTOR COMPUTATIONS; GENERALIZATION PERFORMANCE; QUALITY OF CLUSTERING; SEMI-SUPERVISED CLUSTERING; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED METHOD; SPECTRAL LEARNING ALGORITHMS;

EID: 84871373021     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-448     Document Type: Conference Paper
Times cited : (7)

References (9)
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    • Learning spectral clustering, with application to speech separation
    • December
    • Francis R. Bach and Michael I. Jordan. Learning spectral clustering, with application to speech separation. J. Mach. Learn. Res., 7:1963-2001, December 2006.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1963-2001
    • Bach, F.R.1    Jordan, M.I.2
  • 2
    • 0038589165 scopus 로고    scopus 로고
    • The anatomy of a large-scale hypertextual web search engine
    • Sergey Brin and Lawrence Page. The anatomy of a large-scale hypertextual web search engine. Computer Networks, 30(1-7):107-117, 1998.
    • (1998) Computer Networks , vol.30 , Issue.1-7 , pp. 107-117
    • Brin, S.1    Page, L.2
  • 3
    • 0004236492 scopus 로고    scopus 로고
    • Johns Hopkins University Press, Baltimore, MD, USA
    • Gene H. Golub and Charles F. Van Loan. Matrix computations. Johns Hopkins University Press, Baltimore, MD, USA, 1996.
    • (1996) Matrix Computations
    • Golub, G.H.1    Van Loan, C.F.2
  • 5
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • December
    • Ulrike Luxburg. A tutorial on spectral clustering. Statistics and Computing, 17:395-416, December 2007.
    • (2007) Statistics and Computing , vol.17 , pp. 395-416
    • Luxburg, U.1
  • 6
    • 67049098029 scopus 로고    scopus 로고
    • Enhancing the stability of spectral ordering with sparsification and partial supervision: Application to paleontological data
    • Washington, DC, USA, IEEE Computer Society
    • Dimitrios Mavroeidis and Ella Bingham. Enhancing the stability of spectral ordering with sparsification and partial supervision: Application to paleontological data. In Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pages 462-471,Washington, DC, USA, 2008. IEEE Computer Society.
    • (2008) Proceedings of the 2008 Eighth IEEE International Conference on Data Mining , pp. 462-471
    • Mavroeidis, D.1    Bingham, E.2
  • 7
    • 77952099004 scopus 로고    scopus 로고
    • Enhancing the stability and efficiency of spectral ordering with partial supervision and feature selection
    • May
    • Dimitrios Mavroeidis and Ella Bingham. Enhancing the stability and efficiency of spectral ordering with partial supervision and feature selection. Knowl. Inf. Syst., 23:243-265, May 2010.
    • (2010) Knowl. Inf. Syst. , vol.23 , pp. 243-265
    • Mavroeidis, D.1    Bingham, E.2
  • 8
    • 77958053467 scopus 로고    scopus 로고
    • Accelerating spectral clustering with partial supervision
    • September
    • Dimitrios Mavroeidis. Accelerating spectral clustering with partial supervision. Data Min. Knowl. Discov., 21:241-258, September 2010.
    • (2010) Data Min. Knowl. Discov. , vol.21 , pp. 241-258
    • Mavroeidis, D.1
  • 9
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • August
    • Jianbo Shi and Jitendra Malik. Normalized cuts and image segmentation. IEEE Trans. Pattern Anal. Mach. Intell., 22:888-905, August 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , pp. 888-905
    • Shi, J.1    Malik, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.