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Volumn 3, Issue , 2015, Pages 1973-1979

A closed form solution to multi-view low-rank regression

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION;

EID: 84959918627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (57)

References (22)
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    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 8
    • 84959882431 scopus 로고    scopus 로고
    • Online; accessed 11/17/ 2014
    • Grimai, C. 2014. Multi-view datasets. http://lig-membres. imag.fr/grimal/data.html. [Online; accessed 11/17/2014].
    • (2014) Multi-view Datasets
    • Grimai, C.1
  • 9
    • 58149193404 scopus 로고    scopus 로고
    • Convergence analysis of kernel canonical correlation analysis: Theory and practice
    • Hardoon, D. R., and Shawe-Taylor, J. 2009. Convergence analysis of kernel canonical correlation analysis: theory and practice. Machine Learning 74(l):23-38.
    • (2009) Machine Learning , vol.74 , Issue.1 , pp. 23-38
    • Hardoon, D.R.1    Shawe-Taylor, J.2
  • 10
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learning methods
    • Hardoon, D.; Szedmak, S.; and Shawe-Taylor, J. 2004. Canonical correlation analysis: An overview with application to learning methods. Neural computation 16(12):2639-2664.
    • (2004) Neural Computation , vol.16 , Issue.12 , pp. 2639-2664
    • Hardoon, D.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 11
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl, A. E., and Kennard, R. W. 1970. Ridge regression: Biased estimation for nonorthogonal problems. Teclmomet-rics 12(l):55-67.
    • (1970) Teclmomet-rics , vol.12 , Issue.1 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 12
    • 0000107975 scopus 로고
    • Relations between two sets of variâtes
    • Hotelling, H. 1936. Relations between two sets of variâtes. Biometrika 321-377.
    • (1936) Biometrika , pp. 321-377
    • Hotelling, H.1
  • 15
    • 68849114784 scopus 로고    scopus 로고
    • Foreground focus: Unsu-pervised learning from partially matching images
    • Lee, Y. J., and Grauman, K. 2009. Foreground focus: Unsu-pervised learning from partially matching images. International Journal of Computer Vision 85(2): 143-166.
    • (2009) International Journal of Computer Vision , vol.85 , Issue.2 , pp. 143-166
    • Lee, Y.J.1    Grauman, K.2
  • 16
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D. D., and Seung, H. S. 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401(6755):788-791.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 17
    • 84944477553 scopus 로고
    • Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation
    • Marquaridt, D. W. 1970. Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation. Technomet rie s 12(3 ) : 591-612.
    • (1970) Technomet Rie S , vol.12 , Issue.3 , pp. 591-612
    • Marquaridt, D.W.1
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    • 84880652043 scopus 로고    scopus 로고
    • A machine learning approach to building domain-specific search engines
    • Citeseer
    • McCallum, A.; Nigam, K.; Rennie, J.; and Seymore, K. 1999. A machine learning approach to building domain-specific search engines. In IJCAI, volume 99, 662-667. Citeseer.
    • (1999) IJCAI , vol.99 , pp. 662-667
    • McCallum, A.1    Nigam, K.2    Rennie, J.3    Seymore, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.