Artificial neural network

Results: 1863



#Item
331DeepStance 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

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

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Source URL: socialmachines.media.mit.edu

Language: English - Date: 2016-06-17 17:43:41
332MITSUBISHI 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

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

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Source URL: www.merl.com

Language: English - Date: 2016-08-02 13:09:10
333GUESSING CAN OUTPERFORM MANY LONG TIME LAG ALGORITHMS Technical Note IDSIAJurgen Schmidhuber IDSIA

GUESSING CAN OUTPERFORM MANY LONG TIME LAG ALGORITHMS Technical Note IDSIAJurgen Schmidhuber IDSIA

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:10:32
334FireCaffe: 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

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

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Source URL: arxiv.org

Language: English - Date: 2016-01-10 20:23:29
335Learning to Compose Neural Networks for Question Answering Jacob Andreas and Marcus Rohrbach and Trevor Darrell and Dan Klein Department of Electrical Engineering and Computer Sciences University of California, Berkeley

Learning to Compose Neural Networks for Question Answering Jacob Andreas and Marcus Rohrbach and Trevor Darrell and Dan Klein Department of Electrical Engineering and Computer Sciences University of California, Berkeley

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Source URL: arxiv.org

Language: English - Date: 2016-01-10 20:26:11
336

PDF Document

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Source URL: www.icdip.org

Language: English - Date: 2016-06-21 06:36:18
337AUTOMATIC DRUM TRANSCRIPTION USING BI-DIRECTIONAL RECURRENT NEURAL NETWORKS Carl Southall, Ryan Stables, Jason Hockman Digital Media Technology Laboratory (DMT Lab) Birmingham City University Birmingham, United Kingdom

AUTOMATIC DRUM TRANSCRIPTION USING BI-DIRECTIONAL RECURRENT NEURAL NETWORKS Carl Southall, Ryan Stables, Jason Hockman Digital Media Technology Laboratory (DMT Lab) Birmingham City University Birmingham, United Kingdom

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Source URL: wp.nyu.edu

Language: English - Date: 2016-08-16 16:20:28
338LSTM CAN SOLVE HARD LONG TIME LAG PROBLEMS Sepp Hochreiter Fakultat fur Informatik Technische Universitat Munchen

LSTM CAN SOLVE HARD LONG TIME LAG PROBLEMS Sepp Hochreiter Fakultat fur Informatik Technische Universitat Munchen

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:12:00
339End-to-end Learning of Action Detection from Frame Glimpses in Videos Serena Yeung1 , Olga Russakovsky1,2 , Greg Mori3 , Li Fei-Fei1 1 Stanford University, 2 Carnegie Mellon University, 3 Simon Fraser University

End-to-end Learning of Action Detection from Frame Glimpses in Videos Serena Yeung1 , Olga Russakovsky1,2 , Greg Mori3 , Li Fei-Fei1 1 Stanford University, 2 Carnegie Mellon University, 3 Simon Fraser University

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Source URL: vision.stanford.edu

Language: English - Date: 2016-04-13 14:34:27
340Sensor 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

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

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Source URL: campar.in.tum.de

Language: English - Date: 2016-03-04 11:42:56