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Volumn , Issue , 2010, Pages 679-686

Large graph construction for scalable semi-supervised learning

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY IMPROVEMENT; ADJACENCY MATRICES; ANCHOR POINT; DATA POINTS; DATA SIZE; GRAPH CONSTRUCTION; GRAPH LAPLACIANS; GRAPH-BASED; LARGE DATASETS; LARGE GRAPHS; METRIC REGRESSION; NONCONVEX OPTIMIZATION; POINT CLOUD; SCALABILITY ISSUE; SEMI-SUPERVISED LEARNING; SPARSE GRAPHS; WEIGHTED AVERAGES;

EID: 77956555216     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (600)

References (19)
  • 1
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from examples
    • Belkin, M., Niyogi, P., and Sindhwani, V. Manifold regularization: a geometric framework for learning from examples. Journal of Machine Learning Research, 7:2399-2434, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 3
    • 0003365565 scopus 로고    scopus 로고
    • Spectral graph theory
    • American Mathematical Society, Providence, RI
    • Chung, F. Spectral Graph Theory. No. 92 in CBMS Regional Conference Series in Mathematics, American Mathematical Society, Providence, RI, 1997.
    • (1997) CBMS Regional Conference Series in Mathematics , vol.92
    • Chung, F.1
  • 7
    • 77955999022 scopus 로고    scopus 로고
    • Semi-supervised learning in gigantic image collections
    • Fergus, R., Weiss, Y., and Torralba, A. Semi-supervised learning in gigantic image collections. In NIPS 22, 2010.
    • (2010) NIPS , vol.22
    • Fergus, R.1    Weiss, Y.2    Torralba, A.3
  • 9
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • Joachims, T. Transductive inference for text classification using support vector machines. In Proc. ICML, 1999.
    • (1999) Proc. ICML
    • Joachims, T.1
  • 11
    • 70450170579 scopus 로고    scopus 로고
    • Robust multi-class transductive learning with graphs
    • Liu, W. and Chang, S.-F. Robust multi-class transductive learning with graphs. In Proc. CVPR, 2009.
    • (2009) Proc. CVPR
    • Liu, W.1    Chang, S.-F.2
  • 13
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S. and Saul, L. Nonlinear dimensionality reduction by locally linear embedding. Science, 290 (5500):2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 14
    • 84864041407 scopus 로고    scopus 로고
    • Large-scale sparsified manifold regularization
    • Tsang, I. W. and Kwok, J. T. Large-scale sparsified manifold regularization. In NIPS 19, 2007.
    • (2007) NIPS , vol.19
    • Tsang, I.W.1    Kwok, J.T.2
  • 15
    • 71149121119 scopus 로고    scopus 로고
    • Prototype vector machine for large scale semi-supervised learning
    • Zhang, K., Kwok, J. T., and Parvin, B. Prototype vector machine for large scale semi-supervised learning. In Proc. ICML, 2009.
    • (2009) Proc. ICML
    • Zhang, K.1    Kwok, J.T.2    Parvin, B.3
  • 18
    • 31844438481 scopus 로고    scopus 로고
    • Harmonic mixtures: Combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
    • Zhu, X. and Lafferty, J. Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. In Proc. ICML, 2005.
    • (2005) Proc. ICML
    • Zhu, X.1    Lafferty, J.2
  • 19
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • Zhu, X., Ghahramani, Z., and Lafferty, J. Semi-supervised learning using gaussian fields and harmonic functions. In Proc. ICML, 2003.
    • (2003) Proc. ICML
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.