메뉴 건너뛰기




Volumn , Issue , 2013, Pages 438-445

Separable dictionary learning

Author keywords

[No Author keywords available]

Indexed keywords

DICTIONARY LEARNING; FAST IMPLEMENTATION; IMAGE INFORMATION; LEARNED DICTIONARIES; LEARNING PROCEDURES; PRODUCT-OF-SPHERES; SIGNAL OF INTERESTS; SPARSE REPRESENTATION;

EID: 84887354448     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.63     Document Type: Conference Paper
Times cited : (117)

References (27)
  • 2
    • 67349251766 scopus 로고    scopus 로고
    • Sparse and redundant modeling of image content using an image-signature-dictionary
    • 2
    • M. Aharon and M. Elad. Sparse and redundant modeling of image content using an image-signature-dictionary. SIAM Journal on Imaging Sciences, 1(3):228-247, 2008. 2
    • (2008) SIAM Journal on Imaging Sciences , vol.1 , Issue.3 , pp. 228-247
    • Aharon, M.1    Elad, M.2
  • 3
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
    • 1
    • M. Aharon, M. Elad, and A. Bruckstein. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 54(11):4311-4322, 2006. 1
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 4
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkagethresholding algorithm for linear inverse problems
    • 6
    • A. Beck and M. Teboulle. A fast iterative shrinkagethresholding algorithm for linear inverse problems. SIAM Journal Imaging Sciences, 2(1):183-202, 2009. 6
    • (2009) SIAM Journal Imaging Sciences , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 7
    • 0035730017 scopus 로고    scopus 로고
    • An efficient hybrid conjugate gradient method for unconstrained optimization
    • 5
    • Y. H. Dai and Y. Yuan. An efficient hybrid conjugate gradient method for unconstrained optimization. Annals of Operations Research, 103(1-4):33-47, 2001. 5
    • (2001) Annals of Operations Research , vol.103 , Issue.1-4 , pp. 33-47
    • Dai, Y.H.1    Yuan, Y.2
  • 9
    • 67649842407 scopus 로고    scopus 로고
    • Learning to sense sparse signals: Simultaneous sensing matrix and sparsifying dictionary optimization
    • 3
    • J. M. Duarte-Carvajalino and G. Sapiro. Learning to sense sparse signals: Simultaneous sensing matrix and sparsifying dictionary optimization. IEEE Transactions on Image Processing, 18(7):1395-1408, 2009. 3
    • (2009) IEEE Transactions on Image Processing , vol.18 , Issue.7 , pp. 1395-1408
    • Duarte-Carvajalino, J.M.1    Sapiro, G.2
  • 10
    • 36749022762 scopus 로고    scopus 로고
    • Optimized projections for compressed sensing
    • 3
    • M. Elad. Optimized projections for compressed sensing. IEEE Transactions on Signal Processing, 55(12):5695-5702, 2007. 3
    • (2007) IEEE Transactions on Signal Processing , vol.55 , Issue.12 , pp. 5695-5702
    • Elad, M.1
  • 12
    • 84875742034 scopus 로고    scopus 로고
    • Analysis operator learning and its application to image reconstruction
    • 4
    • S. Hawe, M. Kleinsteuber, and K. Diepold. Analysis Operator Learning and Its Application to Image Reconstruction. IEEE Transactions on Image Processing, 22(6):2138-2150, 2013. 4
    • (2013) IEEE Transactions on Image Processing , vol.22 , Issue.6 , pp. 2138-2150
    • Hawe, S.1    Kleinsteuber, M.2    Diepold, K.3
  • 16
    • 17544369568 scopus 로고    scopus 로고
    • Sparse geometric image representations with bandelets
    • 1
    • E. Le Pennec and S. Mallat. Sparse geometric image representations with bandelets. IEEE Transactions on Image Processing, 14(4):423-438, 2005. 1
    • (2005) IEEE Transactions on Image Processing , vol.14 , Issue.4 , pp. 423-438
    • Le Pennec, E.1    Mallat, S.2
  • 17
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • 1
    • S. Mallat. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7):674-693, 1989. 1
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.1
  • 18
    • 78349258863 scopus 로고    scopus 로고
    • Double sparsity: Learning sparse dictionaries for sparse signal approximation
    • 2
    • R. Rubinstein, M. Zibulevsky, and M. Elad. Double sparsity: Learning sparse dictionaries for sparse signal approximation. IEEE Transactions on Signal Processing, 58(3):1553-1564, 2010. 2
    • (2010) IEEE Transactions on Signal Processing , vol.58 , Issue.3 , pp. 1553-1564
    • Rubinstein, R.1    Zibulevsky, M.2    Elad, M.3
  • 19
    • 69949137336 scopus 로고    scopus 로고
    • Multi-region probabilistic histograms for robust and scalable identity inference
    • 7
    • C. Sanderson and B. C. Lovell. Multi-region probabilistic histograms for robust and scalable identity inference. In International Conference on Advances in Biometrics, pages 199-208, 2009. 7
    • (2009) International Conference on Advances Biometrics , pp. 199-208
    • Sanderson, C.1    Lovell, B.C.2
  • 22
    • 5444237123 scopus 로고    scopus 로고
    • Greed is good: Algorithmic results for sparse approximation
    • 3
    • J. Tropp. Greed is good: Algorithmic results for sparse approximation. IEEE Transactions on Information Theory, 50(10):2231-2242, 2004. 3
    • (2004) IEEE Transactions on Information Theory , vol.50 , Issue.10 , pp. 2231-2242
    • Tropp, J.1
  • 23
    • 1942436689 scopus 로고    scopus 로고
    • Image quality assessment: From error visibility to structural similarity
    • 6
    • Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4):600-612, 2004. 6
    • (2004) IEEE Transactions on Image Processing , vol.13 , Issue.4 , pp. 600-612
    • Wang, Z.1    Bovik, A.2    Sheikh, H.3    Simoncelli, E.4
  • 24
    • 85162409960 scopus 로고    scopus 로고
    • Learning sparse representations of high dimensional data on large scale dictionaries
    • 2
    • Z. J. Xiang, H. Xu, and P. J. Ramadge. Learning sparse representations of high dimensional data on large scale dictionaries. In Advances in Neural Information Processing Systems, pages 900-908, 2011. 2
    • (2011) AdvancesNeural Information Processing Systems , pp. 900-908
    • Xiang, Z.J.1    Xu, H.2    Ramadge, P.J.3
  • 26
    • 9944262108 scopus 로고    scopus 로고
    • A nonmonotone line search technique and its application to unconstrained optimization
    • 5
    • H. Zhang and W. W. Hager. A nonmonotone line search technique and its application to unconstrained optimization. SIAM Journal on Optimization, 14(4):1043-1056, 2004. 5
    • (2004) SIAM Journal on Optimization , vol.14 , Issue.4 , pp. 1043-1056
    • Zhang, H.1    Hager, W.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.