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Convolutional neural network
Results: 192

#	Item
91	DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi and Deb Roy MIT Media Lab, Massachusetts Institute of Technology C Add to Reading List Source URL: socialmachines.media.mit.edu Language: English - Date: 2016-06-17 17:43:41 Computational neuroscience Artificial neural networks Machine learning Computer vision Convolutional neural network Deep learning Twitter Convolution Hashtag Word2vec Tweet Pattern recognition
92	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Driver Confusion Status Detection Using Recurrent Neural Networks Hori, C.; Watanabe, S.; Hori, T.; Harsham, B.A.; Hershey, J.R.; Koji, Y.; Fujii, Y.; Furumot Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-08-02 13:09:10 Artificial neural networks Computational neuroscience Recurrent neural network Long short-term memory Sepp Hochreiter Artificial intelligence Statistical classification Convolutional neural network Multimodal interaction Deep learning
93	FireCaffe: near-linear acceleration of deep neural network training on compute clusters Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer DeepScale∗ and UC Berkeley arXiv:1511.00175v2 [cs.CV] 8 Jan Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-01-10 20:23:29 Graphics hardware GPGPU Parallel computing Computational neuroscience Artificial neural networks Convolutional neural network Graphics processing unit Speech recognition GPU cluster CUDA Kepler Stochastic gradient descent
94	Sensor Substitution for Video-based Action Recognition Christian Rupprecht∗,1,2 , Colin Lea∗,2 Federico Tombari1,3 , Nassir Navab1,2 , Gregory D. Hager2 Abstract— There are many applications where domainspecific se Add to Reading List Source URL: campar.in.tum.de Language: English - Date: 2016-03-04 11:42:56 Computational neuroscience Artificial neural networks Computer vision Convolutional neural network Deep learning Conditional random field Robotics Activity recognition Optical flow Cellular neural network
95	A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks ¨ Felix Grun Technische Universit¨at M¨unchen, Germany Add to Reading List Source URL: campar.in.tum.de Language: English - Date: 2016-06-23 05:02:01 Artificial neural networks Computational neuroscience Convolutional neural network Backpropagation Artificial intelligence Autoencoder Biological neural network Deep learning Vanishing gradient problem
96	ADIEU FEATURES? END-TO-END SPEECH EMOTION RECOGNITION USING A DEEP CONVOLUTIONAL RECURRENT NETWORK George Trigeorgis1 , Fabien Ringeval2,3 , Raymond Brueckner3,4 , Erik Marchi3 Mihalis A. Nicolaou5 , Björn Schuller1,2,6 Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2016-01-23 15:42:05 Artificial neural networks Computational neuroscience Computational linguistics Cybernetics Computational statistics Deep learning Speech recognition Recurrent neural network Convolutional neural network Long short-term memory Acoustic model Affective computing
97	Deep Features to Classify Skin Lesions Jeremy Kawahara, A¨ıcha BenTaieb, and Ghassan Hamarneh Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada ABSTRACT Diagnosing an unknown skin Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2016-02-06 13:56:21 RTT Computational neuroscience Computer vision Convolutional neural network Deep learning ImageNet Melanoma Dermatoscopy Support vector machine Image segmentation K-nearest neighbors algorithm Feature
98	Humanoid Learns to Detect Its Own Hands J¨urgen Leitner∗ , Simon Harding† , Mikhail Frank∗ , Alexander F¨orster∗ , J¨urgen Schmidhuber∗ ∗ Dalle Molle Institute for Artificial Intelligence (IDSIA) / SUPSI F Add to Reading List Source URL: people.idsia.ch Language: English - Date: 2013-08-16 11:18:40 Robotics Humanoid robot ICub Robot Operating System Nao Robot Cognitive robotics Convolutional neural network
99	Mastering the Game of Go with Deep Neural Networks and Tree Search David Silver1 , Aja Huang1 , Chris J. Maddison1 , Arthur Guez1 , Laurent Sifre1 , George van den Driessche1 , Julian Schrittwieser1 , Ioannis Antonoglo Add to Reading List Source URL: gogameguru.com Language: English - Date: 2016-03-04 05:06:20 Machine learning Computer Go Computational neuroscience Artificial intelligence Go software AlphaGo Convolutional neural network Monte Carlo tree search Reinforcement learning Artificial neural network Monte Carlo method Google DeepMind
100	Published as a conference paper at ICLRA DAM : A M ETHOD FOR S TOCHASTIC O PTIMIZATION Diederik P. Kingma* University of Amsterdam Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-07-26 20:01:45 M-estimators Computational statistics Computational neuroscience Estimation theory Stochastic optimization Stochastic gradient descent Deep learning Artificial neural network Convolutional neural network Mathematical optimization Loss function Feature learning

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