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In this paper, we describe the deep sparse coding network (SCN), a novel deep network that encodes intermediate representations with nonnegative sparse coding.
Non-negative sparse coding
P. O. Hoyer · 2002
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Least angle regression
B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani · 2004
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An overview of bilevel optimization
B. Colson, P. Marcotte, and G. Savard · 2007
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Robust face recognition via sparse representation
J. Wright, A.Y. Yang, A. Ganesh, S.S. Sastry, and Yi Ma · 2009
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Linear spatial pyramid matching using sparse coding for image classification
J. Yang, K. Yu, Y. Gong, and T. Huang · 2009
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A. Beck and M. Teboulle · 2009
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K. Gregor and Y. LeCun · 2010
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C. H. Q. Ding, T. Li, and M. I. Jordan · 2010
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
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J. Yang, K. Yu, and T. Huang · 2010
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J. Mairal, F. R. Bach, J. Ponce, and G. Sapiro · 2010
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A. Coates and A. Y. Ng · 2011
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Toward a practical face recognition system: Robust alignment and illumination by sparse representation
A Wagner, J. Wright, A Ganesh, Z. Zhou, H. Mobahi, and Y. Ma · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, Ilya S., and G. E. Hinton · 2012
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Task-driven dictionary learning
J. Mairal, F. Bach, and J. Ponce · 2012
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Bilevel sparse coding for coupled feature spaces
J. Yang, Z. Wang, Z. Lin, X. Shu, and T. Huang · 2012
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Representation learning: A review and new perspectives
Y. Bengio, A. Courville, and P. Vincent · 2013
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M. Lin, Q. Chen, and S. Yan · 2013
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Invariant scattering convolution networks
J. Bruna and S. Mallat · 2013
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Deeply-supervised nets
C. Lee, S. Xie, P. W. Gallagher, Z. Zhang, and Z. Tu · 2015
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PCANet: A simple deep learning baseline for image classification?
T. H. Chan, K. Jia, S. Gao, J. Lu, Z. Zeng, and Y. Ma · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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S. Zagoruyko and N. Komodakis · 2016
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Swapout: Learning an ensemble of deep architectures
S. Singh, D. Hoiem, and D. A. Forsyth · 2016
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Y. He, K. Kavukcuoglu, Y. Wang, A. Szlam, and Y. Qi · 2014
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Stable and efficient representation learning with nonnegativity constraints
T. Lin and H. T. Kung · 2014
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Convolutional kernel networks
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Stacked what-where auto-encoders
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S. Ioffe and C. Szegedy · 2015
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2016
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Y. Zhang, K. Lee, and H. Lee · 2016
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End-to-end kernel learning with supervised convolutional kernel networks
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Deep ten: Texture encoding network
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Understanding trainable sparse coding via matrix factorization
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