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Autoencoder
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#	Item
51	Analyzing the Dynamics of Gated Auto-encoders Graham W. Taylor School of Engineering University of Guelph Guelph, Ontario, Canada N1G2W1 Add to Reading List Source URL: www.uoguelph.ca Language: English - Date: 2014-12-09 21:21:36 Neural networks Machine learning Digital circuits Encoder Autoencoder Derivative Supervised learning Differential equation Function Mathematics Mathematical analysis Functions and mappings
52	Multi-Task Learning of Facial Landmarks and Expression Terrance Devries1 , Kumar Biswaranjan2 , and Graham W. Taylor1 1 2 Add to Reading List Source URL: www.uoguelph.ca Language: English - Date: 2014-12-09 21:24:19 Face recognition Science Computational neuroscience Affective computing Face Facial recognition system Pattern recognition Backpropagation Autoencoder Neural networks Machine learning Artificial intelligence
53	UNSUPERVISED CROSS-LINGUAL KNOWLEDGE TRANSFER IN DNN-BASED LVCSR Pawel Swietojanski, Arnab Ghoshal and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB . Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2012-10-29 12:49:29 Cybernetics Speech recognition Boltzmann machine Perceptron Hidden Markov model Autoencoder Neural networks Machine learning Science
54	UNSUPERVISED CROSS-LINGUAL KNOWLEDGE TRANSFER IN DNN-BASED LVCSR Pawel Swietojanski, Arnab Ghoshal and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB . Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-12-06 15:55:27 Cybernetics Speech recognition Boltzmann machine Perceptron Hidden Markov model Autoencoder Neural networks Machine learning Science
55	Under review as a conference paper at ICLRN EURAL N ETWORK R EGULARIZATION W EIGHT FACTORIZATION VIA Add to Reading List Source URL: www.uoguelph.ca Language: English - Date: 2014-12-30 23:06:44 Learning Artificial intelligence Boltzmann machine Supervised learning Regularization Autoencoder Pattern recognition Overfitting Machine learning Neural networks Statistics
56	Compete to Compute Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino Gomez, Jürgen Schmidhuber IDSIA, USI-SUPSI Manno–Lugano, Switzerland Add to Reading List Source URL: people.idsia.ch Language: English - Date: 2014-07-04 07:33:06 Neuroscience Artificial neural network Feedforward neural network Backpropagation Autoencoder Biological neural network Winner-take-all Multilayer perceptron Perceptron Neural networks Cybernetics Science
57	Learning a Parametric Embedding by Preserving Local Structure Laurens van der Maaten TiCC, Tilburg University P.O. Box 90153, 5000 LE Tilburg, The Netherlands Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-04-12 20:13:26 Machine learning Computational neuroscience Dimension reduction Nonlinear dimensionality reduction Artificial neural network Non-parametric statistics Autoencoder Supervised learning Backpropagation Statistics Neural networks Multivariate statistics
58	1 How to do backpropagation in a brain Geoffrey Hinton Canadian Institute for Advanced Research Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-08-25 21:38:45 Backpropagation Biology Neuron Brain Autoencoder Multilayer perceptron Neural networks Cybernetics Anatomy
59	How to do backpropagation in a brain Geoffrey Hinton Canadian Institute for Advanced Research & University of Toronto & Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-11-08 18:16:49 Neuroscience Backpropagation Autoencoder Supervised learning Brain Image noise Speech recognition Types of artificial neural networks Multilayer perceptron Neural networks Cybernetics Science