Computational neuroscience

Results: 3450



#Item
91RGB-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
92CS 224d: Assignment #3 Due date: :59 PM PST (You are allowed to use three (3) late days maximum for this assignment) This handout consists of several homework problems, as well as instructions on the “deliverabl

CS 224d: Assignment #3 Due date: :59 PM PST (You are allowed to use three (3) late days maximum for this assignment) This handout consists of several homework problems, as well as instructions on the “deliverabl

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Source URL: cs224d.stanford.edu

Language: English - Date: 2016-06-01 01:35:27
93Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes

Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes

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

Language: English - Date: 2016-02-12 15:09:15
94Neural Systems & Behavior Laboratory Experiments for the Integrative Molecular Neuroscience Module 1

Neural Systems & Behavior Laboratory Experiments for the Integrative Molecular Neuroscience Module 1

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Source URL: www.mbl.edu

Language: English - Date: 2014-07-01 11:14:50
95Published 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
96Evaluating 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
97D:/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
98Deep 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
99Low-dimensional models of neural population activity in sensory cortical circuits Evan Archer1,2 , Urs K¨oster3 , Jonathan Pillow4 , Jakob H. Macke1,2 1 Max Planck Institute for Biological Cybernetics, T¨ubingen

Low-dimensional models of neural population activity in sensory cortical circuits Evan Archer1,2 , Urs K¨oster3 , Jonathan Pillow4 , Jakob H. Macke1,2 1 Max Planck Institute for Biological Cybernetics, T¨ubingen

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Source URL: www.kyb.tuebingen.mpg.de

Language: English - Date: 2015-02-25 10:55:26
100Strong 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