Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine
暂无分享,去创建一个
[1] Yee Whye Teh,et al. Rate-coded Restricted Boltzmann Machines for Face Recognition , 2000, NIPS.
[2] D K Smith,et al. Numerical Optimization , 2001, J. Oper. Res. Soc..
[3] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[4] Geoffrey E. Hinton. A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.
[5] Thomas L. Griffiths,et al. Infinite latent feature models and the Indian buffet process , 2005, NIPS.
[6] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Victoria Stodden,et al. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? , 2003, NIPS.
[8] HighWire Press. Philosophical Transactions of the Royal Society of London , 1781, The London Medical Journal.
[9] Jochen J. Steil,et al. Online learning and generalization of parts-based image representations by non-negative sparse autoencoders , 2012, Neural Networks.
[10] Yann LeCun,et al. The mnist database of handwritten digits , 2005 .
[11] Geoffrey E. Hinton,et al. Generative models for discovering sparse distributed representations. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[12] Peter V. Gehler,et al. The rate adapting poisson model for information retrieval and object recognition , 2006, ICML.
[13] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[14] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[15] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[16] Paul Smolensky,et al. Information processing in dynamical systems: foundations of harmony theory , 1986 .
[17] Jiawei Han,et al. Document clustering using locality preserving indexing , 2005, IEEE Transactions on Knowledge and Data Engineering.
[18] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[19] David Haussler,et al. Unsupervised learning of distributions on binary vectors using two layer networks , 1991, NIPS 1991.
[20] Dan Roth,et al. Learning to detect objects in images via a sparse, part-based representation , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..
[22] N. Goodwin,et al. Learning to Detect Objects in Images via a Sparse, Part-Based Representation , 2004 .
[23] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..