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Volumn 2, Issue , 2014, Pages 902-910

Unsupervised feature learning by Deep Sparse Coding

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; OBJECT RECOGNITION;

EID: 84959902160     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611973440.103     Document Type: Conference Paper
Times cited : (53)

References (28)
  • 1
    • 84897528758 scopus 로고    scopus 로고
    • Smooth sparse coding via marginal regression for learning sparse representations
    • K. Balasubramanian, K. Yu, and G. Lebanon. Smooth sparse coding via marginal regression for learning sparse representations. In ICML, 2013.
    • (2013) ICML
    • Balasubramanian, K.1    Yu, K.2    Lebanon, G.3
  • 3
    • 84887371778 scopus 로고    scopus 로고
    • Multipath sparse coding using hierarchical matching pursuit
    • L. Bo, X. Ren, and D. Fox. Multipath sparse coding using hierarchical matching pursuit. CVPR, 2013.
    • (2013) CVPR
    • Bo, L.1    Ren, X.2    Fox, D.3
  • 4
    • 77955993281 scopus 로고    scopus 로고
    • Learning mid-level features for recognition
    • IEEE
    • Y.-L. Boureau, F. Bach, Y. LeCun, and J. Ponce. Learning mid-level features for recognition. In CVPR, pages 2559-2566. IEEE, 2010.
    • (2010) CVPR , pp. 2559-2566
    • Boureau, Y.-L.1    Bach, F.2    Le Cun, Y.3    Ponce, J.4
  • 7
    • 84866714584 scopus 로고    scopus 로고
    • Multicolumn deep neural networks for image classification
    • D. Ciresan, U. Meier, and J. Schmidhuber. Multicolumn deep neural networks for image classification. CVPR, 2012.
    • (2012) CVPR
    • Ciresan, D.1    Meier, U.2    Schmidhuber, J.3
  • 8
    • 80053442434 scopus 로고    scopus 로고
    • The importance of encoding versus training with sparse coding and vector quantization
    • A. Coates and A. Y. Ng. The importance of encoding versus training with sparse coding and vector quantization. In ICML, volume 8, page 10, 2011.
    • (2011) ICML , vol.8 , pp. 10
    • Coates, A.1    Ng, A.Y.2
  • 9
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • IEEE
    • N. Dalai and B. Triggs. Histograms of oriented gradients for human detection. In CVPR 2005, volume 1, pages 886-893. IEEE, 2005.
    • (2005) CVPR 2005 , vol.1 , pp. 886-893
    • Dalai, N.1    Triggs, B.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. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In CVPR, Workshop on Generative-Model Based Vision., 2004.
    • (2004) CVPR, Workshop on Generative-model Based Vision.
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 11
    • 33745155436 scopus 로고    scopus 로고
    • A Bayesian hierarchical model for learning natural scene categories
    • L. Fei-Fei and P. Perona. A bayesian hierarchical model for learning natural scene categories. In CVPR, 2005.
    • (2005) CVPR
    • Fei-Fei, L.1    Perona, P.2
  • 12
    • 84872234907 scopus 로고    scopus 로고
    • Geometric p-norm feature pooling for image classification
    • IEEE
    • J. Feng, B. Ni, Q. Tian, and S. Yan. Geometric p-norm feature pooling for image classification. In CVPR, pages 2609-2704. IEEE, 2011.
    • (2011) CVPR , pp. 2609-2704
    • Feng, J.1    Ni, B.2    Tian, Q.3    Yan, S.4
  • 13
    • 77955994285 scopus 로고    scopus 로고
    • Local features are not lonely-laplacian sparse coding for image classification
    • IEEE
    • S. Gao, I. W. Tsang, L.-T. Chia, and P. Zhao. Local features are not lonely-laplacian sparse coding for image classification. In CVPR, pages 3555-3561. IEEE, 2010.
    • (2010) CVPR , pp. 3555-3561
    • Gao, S.1    Tsang, I.W.2    Chia, L.-T.3    Zhao, P.4
  • 15
    • 33845594569 scopus 로고    scopus 로고
    • Dimensionality reduction by learning an invariant mapping
    • IEEE
    • R. Hadsell, S. Chopra, and Y. LeCun. Dimensionality reduction by learning an invariant mapping. In CVPR, volume 2, pages 1735-1742. IEEE, 2006.
    • (2006) CVPR , vol.2 , pp. 1735-1742
    • Hadsell, R.1    Chopra, S.2    Le Cun, Y.3
  • 16
    • 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, 18(7):1527-1554, 2006.
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 17
    • 84866666373 scopus 로고    scopus 로고
    • Beyond spatial pyramids: Receptive field learning for pooled image features
    • IEEE
    • Y. Jia, C. Huang, and T. Darrell. Beyond spatial pyramids: Receptive field learning for pooled image features. In CVPR, 2012, pages 3370-3377. IEEE, 2012.
    • (2012) CVPR, 2012 , pp. 3370-3377
    • Jia, Y.1    Huang, C.2    Darrell, T.3
  • 20
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • IEEE
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, volume 2, pages 2169-2178. IEEE, 2006.
    • (2006) CVPR , vol.2 , pp. 2169-2178
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 21
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Le Cun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 22
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scaleinvariant keypoints
    • D. G. Lowe. Distinctive image features from scaleinvariant keypoints. IJCV, 60(2):91-110, 2004.
    • (2004) IJCV , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 24
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelop
    • A. Oliva and A. Torraba. Modeling the shape of the scene: A holistic representation of the spatial envelop. In IJCV, 2001.
    • (2001) IJCV
    • Oliva, A.1    Torraba, A.2
  • 25
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B. A. Olshausen et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381(6583):607-609, 1996.
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.A.1
  • 26
    • 77955996870 scopus 로고    scopus 로고
    • Locality-constrained linear coding for image classification
    • IEEE
    • J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, pages 3360-3367. IEEE, 2010.
    • (2010) CVPR , pp. 3360-3367
    • Wang, J.1    Yang, J.2    Yu, K.3    Lv, F.4    Huang, T.5    Gong, Y.6
  • 27
    • 70450209196 scopus 로고    scopus 로고
    • Linear spatial pyramid matching using sparse coding for image classification
    • IEEE
    • J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, pages 1794-1801. IEEE, 2009.
    • (2009) CVPR , pp. 1794-1801
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.4
  • 28
    • 80052889296 scopus 로고    scopus 로고
    • Learning image representations from the pixel level via hierachical sparse coding
    • K. Yu, Y. Lin, R. Fergus, and Y. LeCun. Learning image representations from the pixel level via hierachical sparse coding. In CVPR, 2011.
    • (2011) CVPR
    • Yu, K.1    Lin, Y.2    Fergus, R.3    Le Cun, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.