메뉴 건너뛰기




Volumn 2016, Issue , 2016, Pages

Adaptive Deep Supervised Autoencoder Based Image Reconstruction for Face Recognition

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; IMAGE RECONSTRUCTION; LEARNING SYSTEMS;

EID: 85008600130     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2016/6795352     Document Type: Article
Times cited : (19)

References (33)
  • 1
    • 0036941556 scopus 로고    scopus 로고
    • Discriminant waveletfaces and nearest feature classifiers for face recognition
    • J.-T. Chien and C.-C. Wu, "Discriminant waveletfaces and nearest feature classifiers for face recognition, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1644-1649, 2002.
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , Issue.12 , pp. 1644-1649
    • Chien, J.-T.1    Wu, C.-C.2
  • 7
    • 33847703333 scopus 로고    scopus 로고
    • Histogramof Gabor phase patterns (HGPP): A novel object representation approach for face recognition
    • B. Zhang, S. Shan, X. Chen, and W. Gao, "Histogramof Gabor phase patterns (HGPP): a novel object representation approach for face recognition, " IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 57-68, 2007.
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.1 , pp. 57-68
    • Zhang, B.1    Shan, S.2    Chen, X.3    Gao, W.4
  • 11
    • 84872577736 scopus 로고    scopus 로고
    • Practical recommendations for gradient-based training of deep architecturesm
    • Springer, Berlin, Germany
    • Y. Bengio, "Practical recommendations for gradient-based training of deep architecturesm, " in Neural Networks: Tricks of the Trade, pp. 437-478, Springer, Berlin, Germany, 2012.
    • (2012) Neural Networks: Tricks of the Trade , pp. 437-478
    • Bengio, Y.1
  • 12
    • 79551480483 scopus 로고    scopus 로고
    • Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
    • P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol, "Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion, " Journal ofMachine Learning Research (JMLR), vol. 11, no. 5, pp. 3371-3408, 2010.
    • (2010) Journal OfMachine Learning Research (JMLR) , vol.11 , Issue.5 , pp. 3371-3408
    • Vincent, P.1    Larochelle, H.2    Lajoie, I.3    Bengio, Y.4    Manzagol, P.-A.5
  • 24
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets, " Neural Computation, vol. 18, no. 7, pp. 1527-1554, 2006.
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 26
    • 78149448773 scopus 로고    scopus 로고
    • Fisher's linear discriminant (FLD) and support vectormachine (SVM) in nonnegative matrix factorization (NMF) residual space for face recognition
    • C. Zhou, X. Wei, Q. Zhang, and X. Fang, "Fisher's linear discriminant (FLD) and support vectormachine (SVM) in nonnegative matrix factorization (NMF) residual space for face recognition, " Optica Applicata, vol. 40, no. 3, pp. 693-704, 2010.
    • (2010) Optica Applicata , vol.40 , Issue.3 , pp. 693-704
    • Zhou, C.1    Wei, X.2    Zhang, Q.3    Fang, X.4
  • 30
    • 84875975787 scopus 로고    scopus 로고
    • Novel adaptive eye detection and tracking for challenging lighting conditions
    • J.-I. Park and J. Kim, Eds. of Lecture Notes in Computer Science, Springer, Berlin, Germany
    • M. Rezaei and R. Klette, "Novel adaptive eye detection and tracking for challenging lighting conditions, " in Computer Vision-ACCV 2012 Workshops, J.-I. Park and J. Kim, Eds., vol. 7729 of Lecture Notes in Computer Science, pp. 427-440, Springer, Berlin, Germany, 2013.
    • (2013) Computer Vision-ACCV 2012 Workshops , vol.7729 , pp. 427-440
    • Rezaei, M.1    Klette, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.