메뉴 건너뛰기




Volumn , Issue , 2009, Pages 421-428

Constrained clustering via spectral regularization

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; EMBEDDINGS;

EID: 70450267700     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206852     Document Type: Conference Paper
Times cited : (99)

References (25)
  • 1
    • 3142725535 scopus 로고    scopus 로고
    • Semi-Supervised learning on riemannian manifolds
    • M. Belkin and P. Niyogi. Semi-Supervised Learning on Riemannian Manifolds. Machine Learning, 56(1):209-239, 2004.
    • (2004) Machine Learning , vol.56 , Issue.1 , pp. 209-239
    • Belkin, M.1    Niyogi, P.2
  • 2
    • 0033295981 scopus 로고    scopus 로고
    • CSDP, a C library for semidefinite programming
    • 2
    • B. Borchers. CSDP, a C library for semidefinite programming. Optimization Methods & Software, 11-2(1-4):613- 623, 1999.
    • (1999) Optimization Methods & Software , vol.2-11 , Issue.1-4 , pp. 613-623
    • Borchers, B.1
  • 4
  • 6
    • 56449106588 scopus 로고    scopus 로고
    • Spectral clustering with inconsistent advice
    • T. Coleman, J. Saunderson, and A.Wirth. Spectral clustering with inconsistent advice. In ICML, pages 152-159, 2008.
    • (2008) ICML , pp. 152-159
    • Coleman, T.1    Saunderson, J.2    Wirth, A.3
  • 7
    • 0035363672 scopus 로고    scopus 로고
    • From few to many: Illumination cone models for face recognitionunder variable lighting and pose
    • A. Georghiades, P. Belhumeur, and D. Kriegman. From few to many: illumination cone models for face recognitionunder variable lighting and pose. IEEE Trans. PAMI, 23(6):643- 660, 2001.
    • (2001) IEEE Trans. PAMI , vol.23 , Issue.6 , pp. 643-660
    • Georghiades, A.1    Belhumeur, P.2    Kriegman, D.3
  • 9
    • 34547975734 scopus 로고    scopus 로고
    • Learning nonparametric kernel matrices from pairwise constraints
    • S. Hoi, R. Jin, and M. Lyu. Learning nonparametric kernel matrices from pairwise constraints. In ICML, pages 361- 368, 2007.
    • (2007) ICML , pp. 361-368
    • Hoi, S.1    Jin, R.2    Lyu, M.3
  • 11
  • 12
    • 9444294778 scopus 로고    scopus 로고
    • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    • D. Klein, S. Kamvar, and C. Manning. From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering. In ICML, pages 307- 314, 2002.
    • (2002) ICML , pp. 307-314
    • Klein, D.1    Kamvar, S.2    Manning, C.3
  • 13
    • 31844447616 scopus 로고    scopus 로고
    • Semisupervised graph clustering: A kernel approach
    • B. Kulis, S. Basu, I. Dhillon, and R. Mooney. Semisupervised graph clustering: A kernel approach. In ICML, pages 457-464, 2005.
    • (2005) ICML , pp. 457-464
    • Kulis, B.1    Basu, S.2    Dhillon, I.3    Mooney, R.4
  • 14
    • 56449130871 scopus 로고    scopus 로고
    • Pairwise constraint propagation by semidefinite programming for semi-supervised classification
    • Z. Li, J. Liu, and X. Tang. Pairwise constraint propagation by semidefinite programming for semi-supervised classification. In ICML, 2008.
    • (2008) ICML
    • Li, Z.1    Liu, J.2    Tang, X.3
  • 15
    • 70450170579 scopus 로고    scopus 로고
    • Robust multi-class transductive learning with graphs
    • W. Liu and S.-F. Chang. Robust multi-class transductive learning with graphs. In CVPR, 2009.
    • (2009) CVPR
    • Liu, W.1    Chang, S.-F.2
  • 16
    • 51949113919 scopus 로고    scopus 로고
    • Constrained spectral clustering through affinity propagation
    • Z. Lu and M. Á . Carreira-Perpinãń. Constrained Spectral Clustering through Affinity Propagation. In CVPR, 2008.
    • (2008) CVPR
    • Lu, Z.1    Carreira-Perpinãń, M.Á.2
  • 17
    • 0041875229 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • A. Y. Ng, M. I. Jordan, and Y. Weiss. On spectral clustering: Analysis and an algorithm. In NIPS, pages 849-856, 2001.
    • (2001) NIPS , pp. 849-856
    • Ng, A.Y.1    Jordan, M.I.2    Weiss, Y.3
  • 18
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
    • A. Oliva and A. Torralba. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. International Journal of Computer Vision, 42(3):145-175, 2001.
    • (2001) International Journal of Computer Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 19
    • 84898968165 scopus 로고    scopus 로고
    • Computing Gaussian mixture models with EM using equivalence constraints
    • N. Shental, A. Bar-Hillel, T. Hertz, and D. Weinshall. Computing Gaussian mixture models with EM using equivalence constraints. In NIPS, volume 16, pages 465-472, 2004.
    • (2004) NIPS , vol.16 , pp. 465-472
    • Shental, N.1    Bar-Hillel, A.2    Hertz, T.3    Weinshall, D.4
  • 20
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Trans. PAMI, 22(8):888-905, 2000.
    • (2000) IEEE Trans. PAMI , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 21
    • 0001898293 scopus 로고    scopus 로고
    • Clustering with instance-level constraints
    • K. Wagstaff and C. Cardie. Clustering with instance-level constraints. In ICML, pages 1103-1110, 2000.
    • (2000) ICML , pp. 1103-1110
    • Wagstaff, K.1    Cardie, C.2
  • 22
    • 0042377235 scopus 로고    scopus 로고
    • Constrained k-means clustering with background knowledge
    • K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl. Constrained k-means clustering with background knowledge. In ICML, pages 577-584, 2001.
    • (2001) ICML , pp. 577-584
    • Wagstaff, K.1    Cardie, C.2    Rogers, S.3    Schroedl, S.4
  • 23
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning, with application to clustering with sideinformation
    • E. Xing, A. Ng, M. Jordan, and S. Russell. Distance metric learning, with application to clustering with sideinformation. In NIPS, pages 505-512, 2003.
    • (2003) NIPS , pp. 505-512
    • Xing, E.1    Ng, A.2    Jordan, M.3    Russell, S.4
  • 24
    • 0742321103 scopus 로고    scopus 로고
    • Segmentation given partial grouping constraints
    • S. Yu and J. Shi. Segmentation Given Partial Grouping Constraints. IEEE Trans. PAMI, pages 173-180, 2004.
    • (2004) IEEE Trans. PAMI , pp. 173-180
    • Yu, S.1    Shi, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.