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Volumn 33, Issue , 2014, Pages 823-831

Cluster canonical correlation analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BENCHMARKING;

EID: 84955465719     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (143)

References (28)
  • 10
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learningmethods
    • D. Hardoon, S. Szedmak, and J. Shawe-Taylor. Canonical correlation analysis: an overview with application to learningmethods. Neural Computation, 16(12):2639-2664, 2004.
    • (2004) Neural Computation , vol.16 , Issue.12 , pp. 2639-2664
    • Hardoon, D.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 12
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling. Relations between two sets of variates. Biometrika, 28(3/4):321-377, 1936.
    • (1936) Biometrika , vol.28 , Issue.3-4 , pp. 321-377
    • Hotelling, H.1
  • 15
    • 34247572415 scopus 로고    scopus 로고
    • Boosted manifold principal angles for image set-based recognition
    • T. Kim, O. Arandjelovic, and R. Cipolla. Boosted manifold principal angles for image set-based recognition. Pattern Recognition, 40(9):2475-2484, 2007.
    • (2007) Pattern Recognition , vol.40 , Issue.9 , pp. 2475-2484
    • Kim, T.1    Arandjelovic, O.2    Cipolla, R.3
  • 17
    • 78049508291 scopus 로고    scopus 로고
    • Canonical correlation analysis using within-class coupling
    • O. Kursun, E. Alpaydin, and O. Favorov. Canonical correlation analysis using within-class coupling. Pattern Recognition Letters, 32(2):134-144, 2011.
    • (2011) Pattern Recognition Letters , vol.32 , Issue.2 , pp. 134-144
    • Kursun, O.1    Alpaydin, E.2    Favorov, O.3
  • 18
    • 78149316549 scopus 로고    scopus 로고
    • Weakly-paired maximum co-variance analysis for multimodal dimensionality reduction and transfer learning
    • C. H. Lampert and O. Krmer. Weakly-paired maximum co-variance analysis for multimodal dimensionality reduction and transfer learning. In Proceedings of the 11th European conference on Computer vision, pages 566-579, 2010.
    • (2010) Proceedings of the 11th European Conference on Computer Vision , pp. 566-579
    • Lampert, C.H.1    Krmer, O.2
  • 21
    • 25144502565 scopus 로고    scopus 로고
    • Dimensionality reduction of image features using the canonical contextual correlation projection
    • M. Loog, B. van Ginneken, and R. Duin. Dimensionality reduction of image features using the canonical contextual correlation projection. Pattern recognition, 38(12):2409-2418, 2005.
    • (2005) Pattern Recognition , vol.38 , Issue.12 , pp. 2409-2418
    • Loog, M.1    Van Ginneken, B.2    Duin, R.3
  • 25
    • 33846898949 scopus 로고    scopus 로고
    • Class label versus sample label-based cca
    • T. Sun and S. Chen. Class label versus sample label-based cca. Applied Mathematics and computation, 185(1):272-283, 2007.
    • (2007) Applied Mathematics and Computation , vol.185 , Issue.1 , pp. 272-283
    • Sun, T.1    Chen, S.2
  • 26
    • 0034202338 scopus 로고    scopus 로고
    • Separating style and content with bilinear models
    • J. Tenenbaum and W. Freeman. Separating style and content with bilinear models. Neural computation, 12(6):1247-1283, 2000.
    • (2000) Neural Computation , vol.12 , Issue.6 , pp. 1247-1283
    • Tenenbaum, J.1    Freeman, W.2
  • 28
    • 33745863047 scopus 로고    scopus 로고
    • Face recognition using temporal image sequence
    • Proceedings. Third IEEE International Conference on IEEE
    • O. Yamaguchi, K. Fukui, and K. Maeda. Face recognition using temporal image sequence. In Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on, pages 318-323. IEEE, 1998.
    • (1998) Automatic Face and Gesture Recognition, 1998 , pp. 318-323
    • Yamaguchi, O.1    Fukui, K.2    Maeda, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.