Convolutional neural network

Results: 192



#Item
41Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach Sven Bambach, David J. Crandall, Linda B. Smith†, Chen Yu† {sbambach, djcran, smith4, chenyu}@indiana.edu School of Informa

Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach Sven Bambach, David J. Crandall, Linda B. Smith†, Chen Yu† {sbambach, djcran, smith4, chenyu}@indiana.edu School of Informa

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Source URL: vision.soic.indiana.edu

Language: English - Date: 2016-06-26 10:26:39
42Self-Supervised Deep Visuomotor Learning from Motor Unit Feedback Jay Ming Wong∗ , Takeshi Takahashi∗ , Roderic A. Grupen Laboratory for Perceptual Robotics College of Information and Computer Sciences, University of

Self-Supervised Deep Visuomotor Learning from Motor Unit Feedback Jay Ming Wong∗ , Takeshi Takahashi∗ , Roderic A. Grupen Laboratory for Perceptual Robotics College of Information and Computer Sciences, University of

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Source URL: juxi.net

Language: English - Date: 2016-06-17 11:45:04
4323rd European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, AprilDepth and Height Aware Semantic RGB-D Perception with Convolutional Neural Networks Hannes Schulz, Nico H¨ oft, and Sven Behnk

23rd European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, AprilDepth and Height Aware Semantic RGB-D Perception with Convolutional Neural Networks Hannes Schulz, Nico H¨ oft, and Sven Behnk

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

Language: English - Date: 2015-02-24 15:40:22
44arXiv:1607.05695v3 [cs.CV] 2 AugFusionNet: 3D Object Classification Using Multiple Data Representations Vishakh Hegde Stanford and Matroid

arXiv:1607.05695v3 [cs.CV] 2 AugFusionNet: 3D Object Classification Using Multiple Data Representations Vishakh Hegde Stanford and Matroid

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Source URL: matroid.com

Language: English - Date: 2016-08-06 03:04:23
45A deep-network solution towards model-less obstacle avoidance Lei Tai1 , Shaohua Li2 , Ming Liu1,2 Abstract— Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile robots to explore

A deep-network solution towards model-less obstacle avoidance Lei Tai1 , Shaohua Li2 , Ming Liu1,2 Abstract— Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile robots to explore

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Source URL: ram-lab.com

Language: English - Date: 2016-08-03 06:46:08
46arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton

arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton

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Source URL: arxiv.org

Language: English - Date: 2015-10-19 21:37:55
47Team APL: Intelligent Fusion of CNN Ensembles Christopher M. Gifford, Pedro A. Rodriguez, Ryan Amundsen, Stefan Awad, Brant Chee, Clare Lau, Ajay Patrikar The Johns Hopkins University Applied Physics Laboratory (JHU/APL)

Team APL: Intelligent Fusion of CNN Ensembles Christopher M. Gifford, Pedro A. Rodriguez, Ryan Amundsen, Stefan Awad, Brant Chee, Clare Lau, Ajay Patrikar The Johns Hopkins University Applied Physics Laboratory (JHU/APL)

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Source URL: image-net.org

Language: English - Date: 2015-12-16 23:04:56
4820th International Conference on Artificial Neural Networks (ICANN), Thessaloniki, Greece, SeptemberEvaluation of Pooling Operations in Convolutional Architectures for Object Recognition Dominik Scherer, Andreas M

20th International Conference on Artificial Neural Networks (ICANN), Thessaloniki, Greece, SeptemberEvaluation of Pooling Operations in Convolutional Architectures for Object Recognition Dominik Scherer, Andreas M

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Source URL: amueller.github.io

Language: English - Date: 2016-08-04 15:59:56
49DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features Ayan Sinha∗ Chiho Choi∗ Karthik Ramani

DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features Ayan Sinha∗ Chiho Choi∗ Karthik Ramani

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Source URL: engineering.purdue.edu

Language: English - Date: 2016-06-21 21:05:29