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Volumn , Issue , 2010, Pages 567-574

Submodular dictionary selection for sparse representation

Author keywords

[No Author keywords available]

Indexed keywords

AMBIENT SIGNALS; COLUMN VECTOR; COMBINATORIAL OPTIMIZATION PROBLEMS; EFFICIENT LEARNING; GREEDY ALGORITHMS; INPAINTING; LEARNING FRAMEWORKS; NATURAL IMAGES; OBJECTIVE FUNCTIONS; RESTRICTED PATTERN; SIGNALS OF INTERESTS; SPARSE REPRESENTATION; SUBMODULAR; SUBMODULARITY; SYNTHETIC SIGNALS; TRAINING SIGNAL; VARIANCE REDUCTIONS;

EID: 77956509091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (127)

References (14)
  • 1
    • 33750383209 scopus 로고    scopus 로고
    • The k- SVD: An algorithm for designing of overcomplete dictionaries for sparse representation
    • Aharon, M., Elad, M., and Bruckstein, A. The k- SVD: An algorithm for designing of overcomplete dictionaries for sparse representation. IEEE Trans, on Signal Processing, 54(11):4311-4322, 2006.
    • (2006) IEEE Trans, on Signal Processing , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 3
    • 84886368258 scopus 로고    scopus 로고
    • Learning with compressible priors
    • Vancouver, B.C. Canada
    • Cevher, V. Learning with compressible priors. In NIPS, Vancouver, B.C., Canada, 2008.
    • (2008) NIPS
    • Cevher, V.1
  • 7
    • 77956550719 scopus 로고    scopus 로고
    • Sparse decompositions in "incoherent" dictionaries
    • Gribonval, R. and Nielsen, M. Sparse decompositions in "incoherent" dictionaries. In ICIP, 2002.
    • (2002) ICIP
    • Gribonval, R.1    Nielsen, M.2
  • 8
    • 41549146576 scopus 로고    scopus 로고
    • Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies
    • Krause, A., Singh, A., and Guestrin, C. Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies. In JMLR, vol. 9, 2008.
    • (2008) JMLR , vol.9
    • Krause, A.1    Singh, A.2    Guestrin, C.3
  • 9
    • 85056016797 scopus 로고    scopus 로고
    • Online dictionary learning for sparse coding
    • Mairal, J. and Bach, F. and Ponce, J. and Sapiro, G. Online dictionary learning for sparse coding In ICML, 2008.
    • (2008) ICML
    • Mairal, J.1    Bach, F.2    Ponce, J.3    Sapiro, G.4
  • 11
    • 0000095809 scopus 로고
    • An analysis of the approximations for maximizing submodular set functions
    • Nemhauser, G., Wolsey, L., and Fisher, M. An analysis of the approximations for maximizing submodular set functions. Math. Prog., 14:265-294, 1978.
    • (1978) Math. Prog. , vol.14 , pp. 265-294
    • Nemhauser, G.1    Wolsey, L.2    Fisher, M.3
  • 12
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple- cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B. A. and J., Field D. Emergence of simple- cell receptive field properties by learning a sparse code for natural images. Nature, 381:607-609, 1996.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 13
    • 80051774497 scopus 로고    scopus 로고
    • Wavelet inpainting by nonlocal total variation
    • Zhang, X. and Chan, T. F. Wavelet Inpainting by Nonlocal Total Variation. CAM Report (09-64), 2009.
    • (2009) CAM Report (09-64)
    • Zhang, X.1    Chan, T.F.2
  • 14
    • 84863386014 scopus 로고    scopus 로고
    • Non-parametric bayesian dictionary learning for sparse image representations
    • Zhou, M., Chen, H., Paisley, J,, Ren, L., Sapiro, G., and Carin, L. Non-parametric bayesian dictionary learning for sparse image representations. NIPS, '09.
    • NIPS, '09
    • Zhou, M.1    Chen, H.2    Paisley, J.3    Ren, L.4    Sapiro, G.5    Carin, L.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.