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Volumn 34, Issue 3, 2013, Pages 1189-1212

Robustness analysis of hottopixx, a linear programming model for factoring nonnegative matrices

Author keywords

Hottopixx; Linear programming; Nonnegative matrix factorization; Robustness to noise; Separability

Indexed keywords

HOTTOPIXX; LINEAR PROGRAMMING MODELS; NEAR- DUPLICATES; NON-NEGATIVE MATRIX; NONNEGATIVE MATRIX FACTORIZATION; ROBUSTNESS ANALYSIS; ROBUSTNESS TO NOISE; SEPARABILITY;

EID: 84887361620     PISSN: 08954798     EISSN: 10957162     Source Type: Journal    
DOI: 10.1137/120900629     Document Type: Article
Times cited : (44)

References (10)
  • 5
    • 84862519707 scopus 로고    scopus 로고
    • A convex model for nonnegative matrix factorization and dimensionality reduction on physical space
    • E. Esser, M. Moller, S. Osher, G. Sapiro, and J. Xin, A convex model for nonnegative matrix factorization and dimensionality reduction on physical space, IEEE Trans. Image Process., 21 (2012), pp. 3239-3252.
    • (2012) IEEE Trans. Image Process. , vol.21 , pp. 3239-3252
    • Esser, E.1    Moller, M.2    Osher, S.3    Sapiro, G.4    Xin, J.5
  • 9
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by nonnegative matrix factorization
    • D. Lee and H. Seung, Learning the parts of objects by nonnegative matrix factorization, Nature, 401 (1999), pp. 788-791.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.1    Seung, H.2
  • 10
    • 73249153369 scopus 로고    scopus 로고
    • On the complexity of nonnegative matrix factorization
    • S. Vavasis, On the complexity of nonnegative matrix factorization, SIAM J. Optim., 20 (2009), pp. 1364-1377.
    • (2009) SIAM J. Optim. , vol.20 , pp. 1364-1377
    • Vavasis, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.