Artificial neural networks

Results: 1630



#Item
71RGB-D Object Recognition and Pose Estimation Based on Pre-Trained Convolutional Neural Network Features

RGB-D Object Recognition and Pose Estimation Based on Pre-Trained Convolutional Neural Network Features

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Source URL: www.ais.uni-bonn.de

Language: English - Date: 2015-03-03 05:00:04
72Published in Proc. of International Joint Conference on Neural Networks (IJCNNin Barcelona, Spain  Topological Features in Locally Connected RBMs Andreas M¨uller, Hannes Schulz, and Sven Behnke Abstract— Unsupe

Published in Proc. of International Joint Conference on Neural Networks (IJCNNin Barcelona, Spain Topological Features in Locally Connected RBMs Andreas M¨uller, Hannes Schulz, and Sven Behnke Abstract— Unsupe

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Source URL: amueller.github.io

Language: English - Date: 2016-08-04 15:59:56
73Evaluating Users’ Satisfaction in Packet Networks Using Random Neural Networks Gerardo Rubino1 , Pierre Tirilly1 , and Martın Varela2,! 1 Inria/Irisa, Rennes

Evaluating Users’ Satisfaction in Packet Networks Using Random Neural Networks Gerardo Rubino1 , Pierre Tirilly1 , and Martın Varela2,! 1 Inria/Irisa, Rennes

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Source URL: www.cnl.fi

Language: English - Date: 2011-03-31 17:25:57
74D:/Dropbox/paper_work/deepvis/camera_ready/Real-Time Visual Analytics for Convolutional Neural Network.dvi

D:/Dropbox/paper_work/deepvis/camera_ready/Real-Time Visual Analytics for Convolutional Neural Network.dvi

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Source URL: poloclub.gatech.edu

Language: English - Date: 2016-07-22 15:05:18
75Deep Learning for Laser Based Odometry Estimation Austin Nicolai, Ryan Skeele, Christopher Eriksen, and Geoffrey A. Hollinger Robotics Program School of Mechanical, Industrial, & Manufacturing Engineering Oregon State Un

Deep Learning for Laser Based Odometry Estimation Austin Nicolai, Ryan Skeele, Christopher Eriksen, and Geoffrey A. Hollinger Robotics Program School of Mechanical, Industrial, & Manufacturing Engineering Oregon State Un

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Source URL: juxi.net

Language: English - Date: 2016-06-17 11:44:51
76Strong systematicity in sentence processing by simple recurrent networks Phil´emon Brakel () Stefan L. Frank () Institute for Logic, Language, and Computation, University of Amsterdam Sci

Strong systematicity in sentence processing by simple recurrent networks Phil´emon Brakel () Stefan L. Frank () Institute for Logic, Language, and Computation, University of Amsterdam Sci

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Source URL: www.stefanfrank.info

Language: English - Date: 2012-03-11 05:05:11
77SPECIAL SESSIONSpecial Session 43: Stochastic Networks with Applications to Neuroscience

SPECIAL SESSIONSpecial Session 43: Stochastic Networks with Applications to Neuroscience

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Source URL: www.aimsciences.org

Language: English - Date: 2012-06-23 07:34:46
78TEM Journal–151  Predicting Bidding Price in Construction using Support Vector Machine Silvana Petruseva 1, Phil Sherrod 2, Valentina Zileska Pancovska 1, Aleksandar Petrovski 3

TEM Journal–151 Predicting Bidding Price in Construction using Support Vector Machine Silvana Petruseva 1, Phil Sherrod 2, Valentina Zileska Pancovska 1, Aleksandar Petrovski 3

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Source URL: www.temjournal.com

Language: English - Date: 2016-06-03 09:19:27
79Inferring neural population dynamics from multiple partial recordings of the same neural circuit Srinivas C. Turaga∗1,2 , Lars Buesing1 , Adam M. Packer2 , Henry Dalgleish2 , Noah Pettit2 , Michael H¨ausser2 and Jakob

Inferring neural population dynamics from multiple partial recordings of the same neural circuit Srinivas C. Turaga∗1,2 , Lars Buesing1 , Adam M. Packer2 , Henry Dalgleish2 , Noah Pettit2 , Michael H¨ausser2 and Jakob

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Source URL: www.mackelab.org

Language: English - Date: 2016-08-04 15:02:45
80Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami  David Szepesvari

Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami David Szepesvari

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Source URL: juxi.net

Language: English - Date: 2016-06-17 11:44:38