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Convolutional neural network
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#	Item
41	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 Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2016-06-26 10:26:39 Computational neuroscience Cybernetics Technology Applied mathematics Artificial neural networks Childhood Computer vision Convolutional neural network Toddler Deep learning Outline of object recognition Visual learning
42	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 Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:45:04 Computational neuroscience Applied mathematics Cybernetics Artificial neural networks Cognitive science Computer vision Convolutional neural network Deep learning Artificial intelligence Humanoid robot Robotics Machine learning
43	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 Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-02-24 15:40:22 Computational neuroscience Computer vision Artificial neural networks Cybernetics Applied mathematics Convolutional neural network Neuroscience Image processing Image segmentation RGB color model Deep learning
44	arXiv:1607.05695v3 [cs.CV] 2 AugFusionNet: 3D Object Classification Using Multiple Data Representations Vishakh Hegde Stanford and Matroid Add to Reading List Source URL: matroid.com Language: English - Date: 2016-08-06 03:04:23 Computational neuroscience 3D computer graphics Imaging Artificial neural networks Cybernetics Neuroscience Visual effects Computer vision Convolutional neural network Deep learning Receptive field 3D modeling
45	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 Add to Reading List Source URL: ram-lab.com Language: English - Date: 2016-08-03 06:46:08 Computational neuroscience Artificial intelligence Cybernetics Neuroscience Artificial neural networks Formal sciences Machine learning Computer vision Convolutional neural network Deep learning Robotics Pattern recognition
46	arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-10-19 21:37:55 Artificial neural networks Cybernetics Applied mathematics Machine learning Recurrent neural network Deep learning Feedforward neural network Long short-term memory Convolutional neural network Backpropagation Connectionism Restricted Boltzmann machine
47	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) Add to Reading List Source URL: image-net.org Language: English - Date: 2015-12-16 23:04:56 Computational neuroscience Artificial intelligence Machine learning Statistical classification Artificial neural networks Cognitive science Learning Computer vision Convolutional neural network Support vector machine Classifier Deep learning
48	20th International Conference on Artificial Neural Networks (ICANN), Thessaloniki, Greece, SeptemberEvaluation of Pooling Operations in Convolutional Architectures for Object Recognition Dominik Scherer, Andreas M Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Neuroscience Artificial neural networks Computational neuroscience Artificial intelligence Cybernetics Computer vision Convolutional neural network Image processing Receptive field MNIST database Yann LeCun Outline of object recognition
49	DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features Ayan Sinha∗ Chiho Choi∗ Karthik Ramani Add to Reading List Source URL: engineering.purdue.edu Language: English - Date: 2016-06-21 21:05:29 Statistics Artificial intelligence Computer vision Vision Computational neuroscience Regression analysis Robot control Econometrics Convolutional neural network Deep learning Local regression Pose

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