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Volumn , Issue , 2013, Pages

Graph regularized GM-pLSA with application to video classification

Author keywords

graph regularizer; pLSA with Gaussian Mixtures; term correlation; video classification

Indexed keywords

CONTINUOUS FEATURES; FEATURE DISTRIBUTION; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; PROBABILISTIC LATENT SEMANTIC ANALYSIS; REGULARIZER; TEMPORAL CONSISTENCY; VIDEO CLASSIFICATION;

EID: 84888272540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMEW.2013.6618305     Document Type: Conference Paper
Times cited : (1)

References (15)
  • 1
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • Feb.2001
    • T. Hofmann, "Unsupervised Learning by Probabilistic Latent Semantic Analysis," Machine Learning, vol.42, no.2, pp.177-196, Feb.2001.
    • Machine Learning , vol.42 , Issue.2 , pp. 177-196
    • Hofmann, T.1
  • 2
    • 78649599774 scopus 로고    scopus 로고
    • Modeling continuous visual features for semantic image annotation and retrieval
    • Z. Li, Z. Shi, X. Liu, and Z. Shi, "Modeling Continuous Visual Features for Semantic Image Annotation and Retrieval," Pattern Recognition Letters, vol.32, no.3, pp.516-523, Feb.2011.
    • Pattern Recognition Letters , vol.32 , Issue.3 , pp. 516-523
    • Li, Z.1    Shi, Z.2    Liu, X.3    Shi, Z.4
  • 3
    • 57549085754 scopus 로고    scopus 로고
    • Continuous visual vocabulary models for plsa-based scene recognition
    • E. Hörster, R. Lienhart, and M. Slaney, "Continuous Visual Vocabulary Models for PLSA-Based Scene Recognition," ACM CIVR, pp.319-328, Jul.2008.
    • ACM CIVR , pp. 319-328
    • Hörster, E.1    Lienhart, R.2    Slaney, M.3
  • 4
    • 34948849750 scopus 로고    scopus 로고
    • Learning Motion Categories Using both Semantic and Structural Information
    • S. Wong, T. Kim, and R. Cipolla, "Learning Motion Categories Using both Semantic and Structural Information," CVPR, pp.1-6, Jun.2007.
    • CVPR , pp. 1-6
    • Wong, S.1    Kim, T.2    Cipolla, R.3
  • 5
    • 77953958783 scopus 로고    scopus 로고
    • Action categorization by structural probabilistic latent semantic analysis
    • J. Zhang, and S. Gong, "Action Categorization by Structural Probabilistic Latent Semantic Analysis," Computer Vision and Image Understanding, vol.114, no.8, pp.857-864, 2010.
    • (2010) Computer Vision and Image Understanding , vol.114 , Issue.8 , pp. 857-864
    • Zhang, J.1    Gong, S.2
  • 8
    • 33745839880 scopus 로고    scopus 로고
    • Learning object categories from google's image search
    • Oct
    • R. Fergus, F. Li, P. Perona, and A. Zisserman, "Learning Object Categories from Google's Image Search", ICCV, vol.2, pp.1816-1823, Oct.2005.
    • (2005) ICCV , vol.2 , pp. 1816-1823
    • Fergus, R.1    Li, F.2    Perona, P.3    Zisserman, A.4
  • 9
    • 0043278893 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • Dec
    • M. Belkin, and P. Niyogi, "Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering," NIPS, vol.14, pp.585-591, Dec.2001.
    • (2001) NIPS , vol.14 , pp. 585-591
    • Belkin, M.1    Niyogi, P.2
  • 10
    • 84899006908 scopus 로고    scopus 로고
    • Learning with local and global consistency
    • Dec
    • D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, "Learning with Local and Global Consistency," NIPS, vol.16, pp.321-328, Dec.2004.
    • (2004) NIPS , vol.16 , pp. 321-328
    • Zhou, D.1    Bousquet, O.2    Lal, T.N.3    Weston, J.4    Schölkopf, B.5
  • 11
    • 77958546380 scopus 로고    scopus 로고
    • Gaussian mixture model with local consistency
    • Jul
    • J. Liu, D. Cai, and X. He, "Gaussian Mixture Model with Local Consistency," AAAI, pp.512-517, Jul.2010.
    • (2010) AAAI , pp. 512-517
    • Liu, J.1    Cai, D.2    He, X.3
  • 12
    • 79959532395 scopus 로고    scopus 로고
    • Graph regularized nonnegative matrix factorization for data representation
    • Aug
    • D. Cai, X. He, J. Han, and T. S. Huang, "Graph Regularized Nonnegative Matrix Factorization for Data Representation," IEEE Trans. PAMI., vol.33, no.8, pp.1548-1560, Aug.2011.
    • (2011) IEEE Trans. PAMI , vol.33 , Issue.8 , pp. 1548-1560
    • Cai, D.1    He, X.2    Han, J.3    Huang, T.S.4
  • 13
    • 34547468211 scopus 로고    scopus 로고
    • Exploring temporal consistency for video analysis and retrieval
    • Oct
    • J. Yang, and A.G. Hauptmann, "Exploring Temporal Consistency for Video Analysis and Retrieval," MIR, pp.33-42, Oct.2006.
    • (2006) MIR , pp. 33-42
    • Yang, J.1    Hauptmann, A.G.2
  • 14
    • 77952717202 scopus 로고    scopus 로고
    • Sparse representations for computer vision and pattern recognition
    • Jun
    • J. Wright, Y. Ma, J. Mairal, G. Spairo, T. Huang, and S. Yan, "Sparse Representations for Computer Vision and Pattern Recognition," Proceedings of the IEEE, vol.98, no.6, pp.1031-1044, Jun.2010.
    • (2010) Proceedings of the IEEE , vol.98 , Issue.6 , pp. 1031-1044
    • Wright, J.1    Ma, Y.2    Mairal, J.3    Spairo, G.4    Huang, T.5    Yan, S.6
  • 15
    • 44649182734 scopus 로고    scopus 로고
    • A system that learns to tag videos by watching youtube
    • May
    • A. Ulges, C. Schulze, D. Keysers, and T. Breuel, "A System that Learns to Tag Videos by Watching Youtube," ICVS, pp.415-424, May.2008.
    • (2008) ICVS , pp. 415-424
    • Ulges, A.1    Schulze, C.2    Keysers, D.3    Breuel, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.