메뉴 건너뛰기




Volumn , Issue , 2009, Pages 83-90

Convex coding

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CODES (SYMBOLS); IMAGE DENOISING; RELAXATION PROCESSES;

EID: 80053162026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (26)
  • 1
  • 5
    • 80053153378 scopus 로고    scopus 로고
    • (Technical Report CMU-RI-TR-09-22). Robotics Institute, Pittsburgh, PA
    • Bradley, D. M., & Bagnell, J. A. (2009a). Convex coding (Technical Report CMU-RI-TR-09-22). Robotics Institute, Pittsburgh, PA.
    • (2009) Convex Coding
    • Bradley, D.M.1    Bagnell, J.A.2
  • 9
    • 33845584374 scopus 로고    scopus 로고
    • Image denoising via learned dictionaries and sparse representation
    • DOI 10.1109/CVPR.2006.142, 1640847, Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006
    • Elad, M., & Aharon, M. (2006). Image denoising via learned dictionaries and sparse representation. CVPR '06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 895-900). Washington, DC, USA: IEEE Computer Society. (Pubitemid 44931418)
    • (2006) Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006 , vol.1 , pp. 895-900
    • Elad, M.1    Aharon, M.2
  • 10
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman, J. (2001). Greedy function approximation: a gradient boosting machine. Annals of Statistics, 29, 1189-1232. (Pubitemid 33405972)
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 11
    • 13244255412 scopus 로고    scopus 로고
    • A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals
    • DOI 10.1162/0899766053011474
    • Karklin, Y., & Lewicki, M. S. (2005). A hierarchical bayesian model for learning non-linear statistical regularities in non-stationary natural signals. Neural Computation, 17, 397-423. (Pubitemid 40190481)
    • (2005) Neural Computation , vol.17 , Issue.2 , pp. 397-423
    • Karklin, Y.1    Lewicki, M.S.2
  • 12
  • 15
    • 55149117992 scopus 로고    scopus 로고
    • Learning multiscale sparse representations for image and video restoration
    • Mairal, J., Sapiro, G., & Elad, M. (2008). Learning multiscale sparse representations for image and video restoration. Multiscale Modeling & Simulation, 7, 214-241.
    • (2008) Multiscale Modeling & Simulation , vol.7 , pp. 214-241
    • Mairal, J.1    Sapiro, G.2    Elad, M.3
  • 23
    • 30844461481 scopus 로고    scopus 로고
    • Algorithms for simultaneous sparse approximation. Part II: Convex relaxation
    • DOI 10.1016/j.sigpro.2005.05.031, PII S0165168405002239, Sparse Approximations in Signal and Image Processing
    • Tropp, J. A. (2006). Algorithms for simultaneous sparse approximation: part ii: Convex relaxation. Signal Process., 86, 589-602. (Pubitemid 43106573)
    • (2006) Signal Processing , vol.86 , Issue.3 , pp. 589-602
    • Tropp, J.A.1
  • 24
    • 30844445842 scopus 로고    scopus 로고
    • Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
    • DOI 10.1016/j.sigpro.2005.05.030, PII S0165168405002227, Sparse Approximations in Signal and Image Processing
    • Tropp, J. A., Gilbert, A. C., & Strauss, M. J. (2006). Algorithms for simultaneous sparse approximation: part i: Greedy pursuit. Signal Process., 86, 572-588. (Pubitemid 43106572)
    • (2006) Signal Processing , vol.86 , Issue.3 , pp. 572-588
    • Tropp, J.A.1    Gilbert, A.C.2    Strauss, M.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.