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Volumn , Issue , 2011, Pages 1913-1916

On l 1 mean and variance filtering

Author keywords

[No Author keywords available]

Indexed keywords

DE-NOISING; DISTRIBUTED RANDOM VARIABLES; ESTIMATED PARAMETER; ESTIMATION PROBLEM; FIXED VARIANCE; LASSO METHOD; MAXIMUM LIKELIHOOD METHODS; MEAN VALUES; PARAMETRIZATIONS; PIECEWISE CONSTANT; TIME-DIFFERENCES; TOTAL VARIATION; VARIANCE ESTIMATION;

EID: 84861311315     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2011.6190356     Document Type: Conference Paper
Times cited : (6)

References (14)
  • 1
    • 41549101939 scopus 로고    scopus 로고
    • Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data
    • O. Banerjee, L. El Ghaoui, and A. d'Aspremont. Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data. Journal of Machine Learning Research, 9:485-516, 2008. (Pubitemid 351469014)
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 485-516
    • Banerjee, O.1    El, G.L.2    D'Aspremont, A.3
  • 2
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1):1-122, 2011.
    • (2011) Foundations and Trends in Machine Learning , vol.3 , Issue.1 , pp. 1-122
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 4
    • 0001038826 scopus 로고
    • Covariance selection
    • A. P. Dempster. Covariance selection. Biometrics, 28(1):157-175, 1972.
    • (1972) Biometrics , vol.28 , Issue.1 , pp. 157-175
    • Dempster, A.P.1
  • 6
    • 45849134070 scopus 로고    scopus 로고
    • Sparse inverse covariance estimation with the graphical lasso
    • DOI 10.1093/biostatistics/kxm045
    • J. Friedman, T. Hastie, and R. Tibshirani. Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9(3):432-441, 2008. (Pubitemid 351882084)
    • (2008) Biostatistics , vol.9 , Issue.3 , pp. 432-441
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 7
    • 36849072045 scopus 로고    scopus 로고
    • Graph implementations for nonsmooth convex programs
    • V. D. Blondel, S. P. Boyd, and H. Kimura, editors, Springer-Verlag
    • M. C. Grant and S. P. Boyd. Graph implementations for nonsmooth convex programs. In V. D. Blondel, S. P. Boyd, and H. Kimura, editors, Recent Advances in Learning and Control (tribute to M. Vidyasagar), pages 95-110. Springer-Verlag, 2008.
    • (2008) Recent Advances in Learning and Control (Tribute to M. Vidyasagar) , pp. 95-110
    • Grant, M.C.1    Boyd, S.P.2
  • 11
    • 77953232934 scopus 로고    scopus 로고
    • Segmentation of ARX-models using sum-of-norms regularization
    • April
    • H. Ohlsson, L. Ljung, and S. Boyd. Segmentation of ARX-models using sum-of-norms regularization. Automatica, 46:1107 - 1111, April 2010.
    • (2010) Automatica , vol.46 , pp. 1107-1111
    • Ohlsson, H.1    Ljung, L.2    Boyd, S.3
  • 14
    • 84861326771 scopus 로고    scopus 로고
    • An ADMM algoritm for a class of total variation regularized estimation problems
    • Submitted
    • B. Wahlberg, S. Boyd, M Annergren, and W. Yang. An ADMM algoritm for a class of total variation regularized estimation problems. SYSID 2012, 2011. Submitted.
    • (2011) SYSID 2012
    • Wahlberg, B.1    Boyd, S.2    Annergren, M.3    Yang, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.