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Volumn , Issue , 2008, Pages

Spectrally optimal factorization of incomplete matrices

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; OPTIMAL SYSTEMS; PATTERN RECOGNITION; SEPARATION; SINGULAR VALUE DECOMPOSITION; SOLUTIONS;

EID: 51949113107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587675     Document Type: Conference Paper
Times cited : (28)

References (19)
  • 6
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    • G. Dullerud and F. Paganini. A Course in Robust Control Theory: A Convex Approach. Number 36 in Texts in Applied Mathematics. Springer-Verlag, New York, 2000.
  • 9
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    • Estimation of rank deficient matrices from partial observations: Two-step iterative algorithms
    • Energy Min. Meth. in Computer Vision and Pattern Recognition, number in
    • R. Guerreiro and P. Aguiar. Estimation of rank deficient matrices from partial observations: two-step iterative algorithms. In Energy Min. Meth. in Computer Vision and Pattern Recognition, number 2683 in Lecture Notes in Computer Science. Springer-Verlag, 2003.
    • (2003) Lecture Notes in Computer Science. Springer-Verlag , vol.2683
    • Guerreiro, R.1    Aguiar, P.2
  • 10
    • 5044230546 scopus 로고    scopus 로고
    • Powerfactorization: An approach to affine reconstruction with missing and uncertain data
    • Adelaide, Australia
    • R. Hartley and F. Schaffalitzky. Powerfactorization: an approach to affine reconstruction with missing and uncertain data. In Australia-Japan Advanced Workshop on Computer Vision, Adelaide, Australia, 2003.
    • (2003) Australia-Japan Advanced Workshop on Computer Vision
    • Hartley, R.1    Schaffalitzky, F.2
  • 11
    • 0004151494 scopus 로고
    • Cambridge University Press, Cambridge, UK
    • R. Horn and C. Johnson. Matrix Analysis. Cambridge University Press, Cambridge, UK, 1985.
    • (1985) Matrix Analysis
    • Horn, R.1    Johnson, C.2
  • 12
    • 0036649902 scopus 로고    scopus 로고
    • Multi-frame correspondence estimation using subspace constraints
    • M. Irani. Multi-frame correspondence estimation using subspace constraints. Int. Journal of Computer Vision, 48(3):173-194, 2002.
    • (2002) Int. Journal of Computer Vision , vol.48 , Issue.3 , pp. 173-194
    • Irani, M.1
  • 13
    • 0030676010 scopus 로고    scopus 로고
    • Linear fitting with missing data: Applications to structure-from-motion and to characterizing intensity images
    • D. Jacobs. Linear fitting with missing data: Applications to structure-from-motion and to characterizing intensity images. In Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition, 1997.
    • (1997) Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition
    • Jacobs, D.1
  • 15
    • 33846228834 scopus 로고    scopus 로고
    • On the Wiberg algorithm for matrix factorization in the presence of missing components
    • May
    • T. Okatani and K. Deguchi. On the Wiberg algorithm for matrix factorization in the presence of missing components. Int. Journal of Computer Vision, 72(3):329-337, May 2007.
    • (2007) Int. Journal of Computer Vision , vol.72 , Issue.3 , pp. 329-337
    • Okatani, T.1    Deguchi, K.2
  • 16
    • 0001576935 scopus 로고    scopus 로고
    • A factorization based algorithm for multi-image projective structure and motion
    • Cambridge, UK
    • P. Sturm and B. Triggs. A factorization based algorithm for multi-image projective structure and motion. In Proc. of European Conf. on Computer Vision, Cambridge, UK, 1996.
    • (1996) Proc. of European Conf. on Computer Vision
    • Sturm, P.1    Triggs, B.2
  • 18
    • 0026943737 scopus 로고
    • Shape and motion from image streams under orthography: A factorization method
    • C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: a factorization method. Int. Journal of Computer Vision, 9(2), 1992.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.