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Volumn , Issue , 2011, Pages

Structured sparse coding via lateral inhibition

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); INFERENCE ENGINES;

EID: 85162453815     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (47)

References (18)
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  • 2
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  • 4
    • 70349452064 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm with application to wavelet-based image deblurring
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    • Beck, A.1    Teboulle, M.2
  • 7
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    • Group sparse coding with a laplacian scale mixture prior
    • Lafferty, J., Williams, C. K. I., Shawe-Taylor, J., Zemel, R., and Culotta, A., editors
    • Garrigues, P. andOlshausen, B. (2010). Group sparse coding with a laplacian scale mixture prior. In Lafferty, J., Williams, C. K. I., Shawe-Taylor, J., Zemel, R., and Culotta, A., editors, Advances in Neural Information Processing Systems 23, pages 676-684.
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    • Garrigues, P.1    Olshausen, B.2
  • 10
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    • Learning with structured sparsity
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    • Huang, J.1    Zhang, T.2    Metaxas, D.N.3
  • 11
    • 0034920427 scopus 로고    scopus 로고
    • A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
    • Hyvarinen, A. and Hoyer, P. (2001). A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images. Vision Research, 41(18):2413-2423.
    • (2001) Vision Research , vol.41 , Issue.18 , pp. 2413-2423
    • Hyvarinen, A.1    Hoyer, P.2
  • 15
    • 77956548668 scopus 로고    scopus 로고
    • Tree-guided group lasso for multi-task regression with structured sparsity
    • Kim, S. and Xing, E. P. (2010). Tree-guided group lasso for multi-task regression with structured sparsity. In ICML, pages 543-550.
    • (2010) ICML , pp. 543-550
    • Kim, S.1    Xing, E.P.2
  • 16
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    • Coordinate descent optimization for l1 minimization with application to compressed sensing; A greedy algorithm
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    • Li, Y.1    Osher, S.2
  • 17
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    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
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    • Olshausen, B.1    Field, D.2
  • 18
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    • Coordinate descent algorithms for lasso penalized regression
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.