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Convolutional neural network
Results: 192

#	Item
131	Fast R-CNN Ross Girshick Microsoft Research arXiv:1504.08083v2 [cs.CV] 27 Sep 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-09-28 20:17:36 Computational neuroscience Artificial neural networks Applied mathematics Cybernetics Cognitive science Computer vision Convolutional neural network Machine learning CNN Artificial intelligence Outline of object recognition Image segmentation
132	Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View Sven Bambach1 , David J. Crandall1 , Chen Yu2 2 1 Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2015-10-07 22:43:26 Artificial intelligence Computational neuroscience Cognitive science Neuroscience Image processing Computer vision Artificial intelligence applications Convolutional neural network Image segmentation Activity recognition Framing Artificial neural network
133	UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification Aliaksei Severyn DISI, University of TrentoPovo (TN), Italy Add to Reading List Source URL: alt.qcri.org Language: English - Date: 2015-05-06 14:57:38
134	LETTER doi:nature14236 Human-level control through deep reinforcement learning Add to Reading List Source URL: storage.googleapis.com Language: English - Date: 2016-01-26 06:53:21 Artificial intelligence Machine learning Computational neuroscience Applied mathematics Cybernetics Q-learning Artificial neural networks Reinforcement learning Convolutional neural network DQN Markov decision process Supervised learning
135	Univerzita Karlova v Praze Matematicko-fyzik´aln´ı fakulta ´ PRACE ´ DIPLOMOVA Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2015-03-31 02:55:44 Artificial neural networks Neuroscience Applied mathematics Cybernetics Backpropagation Artificial neuron Feedforward neural network Neuron Activation function Sigmoid function Biological neural network Convolutional neural network
136	Journal of Experimental Psychology: General 2016, Vol. 145, No. 1, 82–94 © 2016 American Psychological Association/$12.00 http://dx.doi.orgxge0000129 Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2016-01-05 19:05:51 Film Artificial intelligence Computer vision Semantics Image processing Categorization Cognition Knowledge representation Outline of object recognition The Matrix Convolutional neural network Bag-of-words model in computer vision
137	Automatic Detection and Categorization of Election-Related Tweets Prashanth Vijayaraghavan∗ , Soroush Vosoughi∗ , Deb Roy Massachusetts Institute of Technology Cambridge, MA, USA , , dkro Add to Reading List Source URL: socialmachines.media.mit.edu Language: English - Date: 2016-04-07 02:54:52 Computing Software Technology Computational neuroscience Social media Web 2.0 Twitter Real-time web Convolutional neural network Hashtag Artificial neural network Convolution
138	Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin 1 Julien Mairal1 1 Inria ∗ Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-10-24 14:55:25 Feature detection Computer vision Artificial intelligence Vision Computational neuroscience Convolutional neural network Deep learning Outline of object recognition Maximally stable extremal regions Visual descriptor GLOH Conference on Computer Vision and Pattern Recognition
139	Structured Output Layer with Auxiliary Targets for Context-Dependent Acoustic Modelling Pawel Swietojanski, Peter Bell, Steve Renals The Centre for Speech Technology Research, University of Edinburgh, United Kingdom {p.s Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial neural networks Machine learning Computational neuroscience Applied mathematics Artificial intelligence Computational statistics Automatic identification and data capture Computer accessibility Speech recognition Language model Convolutional neural network Perceptron
140	Journal of Machine Learning Research1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 14:30:24 Artificial neural networks Artificial intelligence Machine learning Learning Computational neuroscience Computer vision Convolutional neural network Computational statistics Deep learning Dropout Backpropagation Autoencoder