메뉴 건너뛰기




Volumn 9910 LNCS, Issue , 2016, Pages 567-582

Deep robust encoder through locality preserving low-rank dictionary

Author keywords

Auto encoder; Graph regularizer; Low rank dictionary

Indexed keywords

ADDITIVE NOISE; DIMENSIONALITY REDUCTION; LEARNING SYSTEMS; LEARNING TO RANK; SIGNAL ENCODING;

EID: 84990026464     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46466-4_34     Document Type: Conference Paper
Times cited : (44)

References (29)
  • 5
    • 69349090197 scopus 로고    scopus 로고
    • Learning deep architectures for ai. Found
    • Bengio, Y.: Learning deep architectures for ai. Found. Trends Mach. Learn. 2(1), 1–127 (2009)
    • (2009) Trends Mach. Learn , vol.2 , Issue.1 , pp. 1-127
    • Bengio, Y.1
  • 8
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504–507 (2006)
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 9
    • 79959347463 scopus 로고    scopus 로고
    • Transforming auto-encoders
    • Honkela, T., Duch, W., Girolami, M., Kaski, S. (eds.), Springer, Heidelberg
    • Hinton, G.E., Krizhevsky, A., Wang, S.D.: Transforming auto-encoders. In: Honkela, T., Duch, W., Girolami, M., Kaski, S. (eds.) ICANN 2011. LNCS, vol. 6791, pp. 44–51. Springer, Heidelberg (2011). doi:10.1007/978-3-642-21735-7_6
    • (2011) ICANN 2011. LNCS , vol.6791 , pp. 44-51
    • Hinton, G.E.1    Krizhevsky, A.2    Wang, S.D.3
  • 14
    • 84955106472 scopus 로고    scopus 로고
    • Bottom-up visual saliency estimation with deep autoencoder-based sparse reconstruction
    • Xia, C., Qi, F., Shi, G.: Bottom-up visual saliency estimation with deep autoencoder-based sparse reconstruction. IEEE Trans. Neural Netw. Learn. Syst. 27(6), 1227–1240 (2016)
    • (2016) IEEE Trans. Neural Netw. Learn. Syst , vol.27 , Issue.6 , pp. 1227-1240
    • Xia, C.1    Qi, F.2    Shi, G.3
  • 15
    • 79551480483 scopus 로고    scopus 로고
    • Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
    • Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.A.: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11, 3371–3408 (2010)
    • (2010) J. Mach. Learn. Res , vol.11 , pp. 3371-3408
    • Vincent, P.1    Larochelle, H.2    Lajoie, I.3    Bengio, Y.4    Manzagol, P.A.5
  • 16
    • 84863367863 scopus 로고    scopus 로고
    • Robust principal component analysis: Exact recovery of corrupted low-rank matrices via convex optimization
    • Wright, J., Ganesh, A., Rao, S., Peng, Y., Ma, Y.: Robust principal component analysis: exact recovery of corrupted low-rank matrices via convex optimization. In: Neural Information Processing Systems, pp. 2080–2088 (2009)
    • (2009) Neural Information Processing Systems , pp. 2080-2088
    • Wright, J.1    Ganesh, A.2    Rao, S.3    Peng, Y.4    Ma, Y.5
  • 18
  • 19
    • 84902283760 scopus 로고    scopus 로고
    • Generalized transfer subspace learning through low-rank constraint
    • Shao, M., Kit, D., Fu, Y.: Generalized transfer subspace learning through low-rank constraint. Int. J. Comput. Vis. 109(12), 74–93 (2014)
    • (2014) Int. J. Comput. Vis , vol.109 , Issue.12 , pp. 74-93
    • Shao, M.1    Kit, D.2    Fu, Y.3
  • 22
    • 84866713695 scopus 로고    scopus 로고
    • Sparse representation for face recognition based on discriminative low-rank dictionary learning
    • IEEE
    • Ma, L., Wang, C., Xiao, B., Zhou, W.: Sparse representation for face recognition based on discriminative low-rank dictionary learning. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2586–2593. IEEE (2012)
    • (2012) IEEE Conference on Computer Vision and Pattern Recognition , pp. 2586-2593
    • Ma, L.1    Wang, C.2    Xiao, B.3    Zhou, W.4
  • 24
    • 77951291046 scopus 로고    scopus 로고
    • A singular value thresholding algorithm for matrix completion
    • Cai, J.F., Candés, E.J., Shen, Z.: A singular value thresholding algorithm for matrix completion. SIAM J. Optim. 20(4), 1956–1982 (2010)
    • (2010) SIAM J. Optim. , vol.20 , Issue.4 , pp. 1956-1982
    • Cai, J.F.1    Candés, E.J.2    Shen, Z.3
  • 25
    • 33646887390 scopus 로고
    • On the limited memory bfgs method for large scale optimization
    • Liu, D.C., Nocedal, J.: On the limited memory bfgs method for large scale optimization. Math. Program. 45(13), 503–528 (1989)
    • (1989) Math. Program , vol.45 , Issue.13 , pp. 503-528
    • Liu, D.C.1    Nocedal, J.2
  • 26
    • 85013324239 scopus 로고    scopus 로고
    • Learning robust and discriminative subspace with low-rank constraints
    • Li, S., Fu, Y.: Learning robust and discriminative subspace with low-rank constraints. IEEE Trans. Neural Netw. Learn. Syst. PP (99), 1–13 (2015)
    • (2015) IEEE Trans. Neural Netw. Learn. Syst
    • Li, S.1    Fu, Y.2
  • 27
    • 0026065565 scopus 로고
    • Eigenfaces for recognition
    • Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cogn. Neurosci. 3(1), 71–86 (1991)
    • (1991) J. Cogn. Neurosci , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentland, A.2
  • 28
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
    • Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal.Mach. Intell. 19(7), 711–720 (1997)
    • (1997) IEEE Trans. Pattern Anal.Mach. Intell , vol.19 , Issue.7 , pp. 711-720
    • Belhumeur, P.N.1    Hespanha, J.P.2    Kriegman, D.J.3
  • 29
    • 84863042818 scopus 로고    scopus 로고
    • Latent low-rank representation for subspace segmentation and feature extraction
    • Liu, G., Yan, S.: Latent low-rank representation for subspace segmentation and feature extraction. In: IEEE International Conference on Computer Vision, pp. 1615–1622 (2011)
    • (2011) IEEE International Conference on Computer Vision , pp. 1615-1622
    • Liu, G.1    Yan, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.