Sparse Feature Learning for Deep Belief Networks
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Marc'Aurelio Ranzato | Y-Lan Boureau | Yann LeCun | Yann LeCun | Marc'Aurelio Ranzato | Y-Lan Boureau | M. Ranzato
[1] Geoffrey E. Hinton,et al. Autoencoders, Minimum Description Length and Helmholtz Free Energy , 1993, NIPS.
[2] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[3] Geoffrey E. Hinton,et al. Modeling the manifolds of images of handwritten digits , 1997, IEEE Trans. Neural Networks.
[4] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[5] Terrence J. Sejnowski,et al. Learning Overcomplete Representations , 2000, Neural Computation.
[6] Bruno A. Olshausen,et al. Learning Sparse Multiscale Image Representations , 2002, NIPS.
[7] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[8] Yee Whye Teh,et al. Energy-Based Models for Sparse Overcomplete Representations , 2003, J. Mach. Learn. Res..
[9] P. Lennie. The Cost of Cortical Computation , 2003, Current Biology.
[10] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[11] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[12] Fu Jie Huang,et al. A Tutorial on Energy-Based Learning , 2006 .
[13] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[14] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[15] Marc'Aurelio Ranzato,et al. A Unified Energy-Based Framework for Unsupervised Learning , 2007, AISTATS.
[16] Yoshua Bengio,et al. Scaling learning algorithms towards AI , 2007 .
[17] Joseph F. Murray,et al. Learning Sparse Overcomplete Codes for Images , 2006, J. VLSI Signal Process..
[18] Michael S. Lewicki,et al. Robust Coding Over Noisy Overcomplete Channels , 2007, IEEE Transactions on Image Processing.