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Autoencoder
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71	Capturing, Analyzing, and Transmitting Intangible Cultural Heritage with the i-Treasures Project A. Jaumard-Hakoun1,2, S. K. Al Kork¹,2, M. Adda-Decker3, A. Amelot3, L. Buchman³, G. Dreyfus2 , T. Fux3, P. Roussel2, C. Add to Reading List Source URL: www.qmu.ac.uk Language: English - Date: 2013-11-11 17:54:38 Science Ultrasound Autoencoder Feature Machine learning Boltzmann machine Applied mathematics Neural networks Computational neuroscience Cybernetics
72	INTERSPEECH[removed]Deep Convex Net: A Scalable Architecture for Speech Pattern Classification Li Deng and Dong Yu Microsoft Research, Redmond, WA, USA {deng, dongyu}@microsoft.com Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-09-03 16:09:44 Computer accessibility Speech recognition Science Autoencoder Cybernetics Computing Neural networks Computational neuroscience Automatic identification and data capture
73	TRENDS & CONTROVERSIES Editor: erik cambria, MIT Media Laboratory, [removed] Extreme Learning Machines Erik Cambria, MIT Media Laboratory Guang-Bin Huang, Nanyang Technological University, Singapore Add to Reading List Source URL: www3.ntu.edu.sg Language: English - Date: 2014-02-08 17:56:55 Science Feedforward neural network Backpropagation Autoencoder Boltzmann machine Elm Artificial neuron Supervised learning Neural networks Machine learning Cybernetics
74	ON RECTIFIED LINEAR UNITS FOR SPEECH PROCESSING M.D. Zeiler1∗ , M. Ranzato2 , R. Monga2 , M. Mao2 , K. Yang2 , Q.V. Le2 , P. Nguyen2 , A. Senior2 , V. Vanhoucke2 , J. Dean2 , G.E. Hinton3 1 New York University, USA Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-08-04 21:20:17 Cybernetics Artificial intelligence Computational neuroscience Computational statistics Network architecture Supervised learning Unsupervised learning Artificial neuron Autoencoder Neural networks Statistics Machine learning
75	Transforming Auto-encoders G. E. Hinton, A. Krizhevsky & S. D. Wang Department of Computer Science, University of Toronto {geoffrey.hinton, akrizhevsky, sidawang88}@gmail.com Abstract. The artificial neural networks tha Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-04-26 20:45:30 Cybernetics Science Computational statistics Autoencoder Artificial neural network Capsule Matrix decoder Supervised learning Feedforward neural network Neural networks Computational neuroscience Mathematics
76	IMPROVING DEEP NEURAL NETWORKS FOR LVCSR USING RECTIFIED LINEAR UNITS AND DROPOUT George E. Dahl ? Tara N. Sainath† Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-08-04 20:58:12 Science Networks Computational neuroscience Network architecture Backpropagation Early stopping Autoencoder Boltzmann machine Bayesian network Neural networks Statistics Machine learning
77	Shallow vs. Deep Sum-Product Networks Olivier Delalleau Department of Computer Science and Operation Research Universit´e de Montr´eal [removed] Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 22:24:23 Applied mathematics Artificial neural network Artificial neuron Supervised learning Canonical form Bayesian network Circuit complexity Autoencoder Perceptron Neural networks Statistics Cybernetics
78	REPORTS Fig. 3. Theory, presented as the experiment (see Fig. 1). The SHG source is the magnetic component of the Lorentz force on metal electrons in the SRRs. The setup for measuring the SHG is described Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-16 13:22:12 Nonlinear dimensionality reduction Principal component analysis Dimension reduction Boltzmann machine Backpropagation Autoencoder Support vector machine Statistics Neural networks Multivariate statistics
79	ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky University of Toronto [removed] Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-24 15:05:41 Science Feedforward neural network Autoencoder Backpropagation Supervised learning Neural networks Cybernetics Statistics

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