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Volumn , Issue , 2014, Pages 1450-1457

Constructing robust affinity graphs for spectral clustering

Author keywords

discriminative feature subspaces; random forests; Robust affinity graphs; spectral clustering; subtle similarity; weak proximity

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DECISION TREES; PATTERN RECOGNITION; RANDOM FORESTS;

EID: 84911428734     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.188     Document Type: Conference Paper
Times cited : (130)

References (26)
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. ML, 45(1):5-32, 2001.
    • (2001) ML , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 4
    • 84859414659 scopus 로고    scopus 로고
    • Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
    • A. Criminisi. Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Foundations and Trends in Computer Graphics and Vision, 7(2-3):81-227, 2012.
    • (2012) Foundations and Trends in Computer Graphics and Vision , vol.7 , Issue.2-3 , pp. 81-227
    • Criminisi, A.1
  • 5
    • 0742286179 scopus 로고    scopus 로고
    • Spectral grouping using the nystrom method
    • C. Fowlkes, S. Belongie, F. Chung, and J. Malik. Spectral grouping using the nystrom method. TPAMI, 26(2):214-225, 2004.
    • (2004) TPAMI , vol.26 , Issue.2 , pp. 214-225
    • Fowlkes, C.1    Belongie, S.2    Chung, F.3    Malik, J.4
  • 8
    • 84866713490 scopus 로고    scopus 로고
    • Affinity aggregation for spectral clustering
    • H.-C. Huang, Y.-Y. Chuang, and C.-S. Chen. Affinity aggregation for spectral clustering. In CVPR, 2012.
    • (2012) CVPR
    • Huang, H.-C.1    Chuang, Y.-Y.2    Chen, C.-S.3
  • 9
    • 0000008146 scopus 로고
    • Comparing partitions
    • L. Hubert and P. Arabie. Comparing partitions. J CLASSIF, 2(1):193-218, 1985.
    • (1985) J CLASSIF , vol.2 , Issue.1 , pp. 193-218
    • Hubert, L.1    Arabie, P.2
  • 10
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond k-means
    • A. K. Jain. Data clustering: 50 years beyond k-means. Pattern Recognition Letters, 31(8):651-666, 2010.
    • (2010) Pattern Recognition Letters , vol.31 , Issue.8 , pp. 651-666
    • Jain, A.K.1
  • 11
    • 0005180705 scopus 로고    scopus 로고
    • An information-theoretic definition of similarity
    • D. Lin. An information-theoretic definition of similarity. In ICML, volume 98, pages 296-304, 1998.
    • (1998) ICML , vol.98 , pp. 296-304
    • Lin, D.1
  • 12
    • 33745653724 scopus 로고    scopus 로고
    • Random forests and adaptive nearest neighbors
    • Y. Lin and Y. Jeon. Random forests and adaptive nearest neighbors. J AM STAT ASSOC, 101(474):578-590, 2006.
    • (2006) J AM STAT ASSOC , vol.101 , Issue.474 , pp. 578-590
    • Lin, Y.1    Jeon, Y.2
  • 13
    • 85049067327 scopus 로고    scopus 로고
    • Clustering through decision tree construction
    • B. Liu, Y. Xia, and P. S. Yu. Clustering through decision tree construction. In CIKM, 2000.
    • (2000) CIKM
    • Liu, B.1    Xia, Y.2    Yu, P.S.3
  • 14
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. Luxburg. A tutorial on spectral clustering. STAT COM-PUT, 17(4):395-416, 2007.
    • (2007) STAT COM-PUT , vol.17 , Issue.4 , pp. 395-416
    • Luxburg, U.1
  • 15
    • 84899013108 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • A. Y. Ng, M. I. Jordan, Y. Weiss, et al. On spectral clustering: Analysis and an algorithm. In NIPS, 2002.
    • (2002) NIPS
    • Ng, A.Y.1    Jordan, M.I.2    Weiss, Y.3
  • 16
    • 33947276658 scopus 로고    scopus 로고
    • Dominant sets and pairwise clustering
    • M. Pavan and M. Pelillo. Dominant sets and pairwise clustering. TPAMI, 29(1):167-172, 2007.
    • (2007) TPAMI , vol.29 , Issue.1 , pp. 167-172
    • Pavan, M.1    Pelillo, M.2
  • 17
    • 84898802245 scopus 로고    scopus 로고
    • Unsupervised random forest manifold alignment for lipreading
    • Y. Pei, T.-K. Kim, and H. Zha. Unsupervised random forest manifold alignment for lipreading. In ICCV, 2013.
    • (2013) ICCV
    • Pei, Y.1    Kim, T.-K.2    Zha, H.3
  • 18
    • 84887338008 scopus 로고    scopus 로고
    • Consensus of k-nns for robust neighborhood selection on graph-based manifolds
    • V. Premachandran and R. Kakarala. Consensus of k-nns for robust neighborhood selection on graph-based manifolds. In CVPR, 2013.
    • (2013) CVPR
    • Premachandran, V.1    Kakarala, R.2
  • 19
    • 84862286136 scopus 로고    scopus 로고
    • Spectral clustering on a budget
    • O. Shamir and N. Tishby. Spectral clustering on a budget. In AISTATS, pages 661-669, 2011.
    • (2011) AISTATS , pp. 661-669
    • Shamir, O.1    Tishby, N.2
  • 20
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J. Shi and J. Malik. Normalized cuts and image segmentation. TPAMI, 22(8):888-905, 2000.
    • (2000) TPAMI , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 22
    • 0347380229 scopus 로고    scopus 로고
    • The cmu pose, illumination, and expression database
    • T. Sim, S. Baker, and M. Bsat. The cmu pose, illumination, and expression database. TPMAI, 25(12):1615-1618, 2003.
    • (2003) TPMAI , vol.25 , Issue.12 , pp. 1615-1618
    • Sim, T.1    Baker, S.2    Bsat, M.3
  • 23
    • 51949094765 scopus 로고    scopus 로고
    • Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels
    • J. Wang, S.-F. Chang, X. Zhou, and S. Wong. Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels. In CVPR, 2008.
    • (2008) CVPR
    • Wang, J.1    Chang, S.-F.2    Zhou, X.3    Wong, S.4
  • 24
    • 35448945640 scopus 로고    scopus 로고
    • Spectral clustering with eigenvector selection
    • T. Xiang and S. Gong. Spectral clustering with eigenvector selection. PR, 41(3):1012-1029, 2008.
    • (2008) PR , vol.41 , Issue.3 , pp. 1012-1029
    • Xiang, T.1    Gong, S.2
  • 25
    • 33644783522 scopus 로고    scopus 로고
    • Self-tuning spectral clustering
    • L. Zelnik-manor and P. Perona. Self-tuning spectral clustering. In NIPS, 2004.
    • (2004) NIPS
    • Zelnik-Manor, L.1    Perona, P.2
  • 26
    • 84898814251 scopus 로고    scopus 로고
    • Video synopsis by heterogeneous multi-source correlation
    • X. Zhu, C. C. Loy, and S. Gong. Video synopsis by heterogeneous multi-source correlation. In ICCV, 2013.
    • (2013) ICCV
    • Zhu, X.1    Loy, C.C.2    Gong, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.