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Volumn , Issue , 2008, Pages

Joint learning and dictionary construction for pattern recognition

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CANNING; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; CONSTRAINED OPTIMIZATION; DATABASE SYSTEMS; FACE RECOGNITION; FEATURE EXTRACTION; IMAGE PROCESSING; PATTERN RECOGNITION;

EID: 51949086512     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587408     Document Type: Conference Paper
Times cited : (224)

References (31)
  • 1
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
    • Nov
    • M. Aharon, M. Elad, and A. Bruckstein. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 54:4311-4322, Nov 2006.
    • (2006) IEEE Transactions on Signal Processing , vol.54 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 2
    • 35148836705 scopus 로고    scopus 로고
    • Face recognition using kernel ridge regression
    • S. An, W. Liu, and S. Venkatesh. Face recognition using kernel ridge regression. In Proceedings CVPR, 2007.
    • (2007) Proceedings CVPR
    • An, S.1    Liu, W.2    Venkatesh, S.3
  • 5
    • 51949103453 scopus 로고    scopus 로고
    • Codes and datasets for subspace learning. Available online at www.cs.uiuc.edu/homes/dengcai2/Data/data.html, As retrieved on
    • October
    • D. Cai. Codes and datasets for subspace learning. Available online at www.cs.uiuc.edu/homes/dengcai2/Data/data.html, As retrieved on October 2007.
    • (2007)
    • Cai, D.1
  • 7
    • 35148813570 scopus 로고    scopus 로고
    • Learning a spatially smooth subspace for face recognition
    • D. Cai, X. He, Y. Hu, J. Han, and T. Huang. Learning a spatially smooth subspace for face recognition. In Proceedings CVPR, 2007.
    • (2007) Proceedings CVPR
    • Cai, D.1    He, X.2    Hu, Y.3    Han, J.4    Huang, T.5
  • 8
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presence of noise
    • Jan
    • D. L. Donoho, M. Elad, and V. Temlyakov. Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Transactions on Information Theory, 29(1):6-18, Jan 2007.
    • (2007) IEEE Transactions on Information Theory , vol.29 , Issue.1 , pp. 6-18
    • Donoho, D.L.1    Elad, M.2    Temlyakov, V.3
  • 9
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionaries
    • Dec
    • M. Elad and M. Aharon. Image denoising via sparse and redundant representations over learned dictionaries. IEEE Transactions on Image Processing, 15(12):3736-3745, Dec 2006.
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.12 , pp. 3736-3745
    • Elad, M.1    Aharon, M.2
  • 10
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental-bayesian approach tested on 101 object categories
    • L. FeiFei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: an incremental-bayesian approach tested on 101 object categories. In Proceedings CVPR workshop on generative model based vision, 2004.
    • (2004) Proceedings CVPR workshop on generative model based vision
    • FeiFei, L.1    Fergus, R.2    Perona, P.3
  • 12
    • 0000249788 scopus 로고    scopus 로고
    • An equivalence between sparse approximation and support vector machines
    • F. Girosi. An equivalence between sparse approximation and support vector machines. Neural computation, 10(6):1455-1480, 1998.
    • (1998) Neural computation , vol.10 , Issue.6 , pp. 1455-1480
    • Girosi, F.1
  • 13
  • 14
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • A. E. Hoerl and R. W. Kennard. Ridge regression: biased estimation for nonorthogonal problems. Technometrics, 12:105-123, 1970.
    • (1970) Technometrics , vol.12 , pp. 105-123
    • Hoerl, A.E.1    Kennard, R.W.2
  • 15
    • 84864043302 scopus 로고    scopus 로고
    • Sparse representation for signal classification
    • K. Huang and S. Aviyente. Sparse representation for signal classification. In NIPS'06, 2006.
    • (2006) NIPS'06
    • Huang, K.1    Aviyente, S.2
  • 18
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • M. S. Lewicki and T. J. Sejnowski. Learning overcomplete representations. Neural computation, 12:337-365, 2000.
    • (2000) Neural computation , vol.12 , pp. 337-365
    • Lewicki, M.S.1    Sejnowski, T.J.2
  • 21
    • 33845569574 scopus 로고    scopus 로고
    • Multiclass object recognition with sparse, localized features
    • J. Mutch and D. G. Lowe. Multiclass object recognition with sparse, localized features. In Proceedings CVPR, 2006.
    • (2006) Proceedings CVPR
    • Mutch, J.1    Lowe, D.G.2
  • 22
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive-field properties by learning sparse codefornatural images
    • B. A. Olshausen and D. J. Field. Emergence of simple-cell receptive-field properties by learning sparse codefornatural images. Nature, 381:607-609, 1996.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 23
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employ by v1?
    • B. A. Olshausen and D. J. Field. Sparse coding with an overcomplete basis set: A strategy employ by v1? Vision Research, 37:3311-3325, 1997.
    • (1997) Vision Research , vol.37 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 25
    • 34948870900 scopus 로고    scopus 로고
    • Unsupervised learning of invariant feature hierarchies with applications to object recognition
    • M. Ranzato, F. J. Huang, Y.-L. Boureau, and Y. LeCun. Unsupervised learning of invariant feature hierarchies with applications to object recognition. In Proceedings CVPR, 2007.
    • (2007) Proceedings CVPR
    • Ranzato, M.1    Huang, F.J.2    Boureau, Y.-L.3    LeCun, Y.4
  • 26
    • 84898984660 scopus 로고    scopus 로고
    • Learning sparse multiscale image representations
    • P. Salle and B. A. Olshausen. Learning sparse multiscale image representations. In Proceedings NIPS, 2003.
    • (2003) Proceedings NIPS
    • Salle, P.1    Olshausen, B.A.2
  • 29
    • 33645712308 scopus 로고    scopus 로고
    • Just relax: Convex programming methods for identifying sparse signals innoise
    • Mar
    • J. A. Tropp. Just relax: convex programming methods for identifying sparse signals innoise. IEEE Transactions on Information Theory, 52:1030, Mar 2006.
    • (2006) IEEE Transactions on Information Theory , vol.52 , pp. 1030
    • Tropp, J.A.1
  • 31
    • 50649115912 scopus 로고    scopus 로고
    • Learning the discriminative power-invariance trade-off
    • M. Varma and D. Ray. Learning the discriminative power-invariance trade-off. In Proceedings ICCV, 2007.
    • (2007) Proceedings ICCV
    • Varma, M.1    Ray, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.