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Artificial neural network
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251	Hidden Voice Commands Nicholas Carlini∗ University of California, Berkeley Tavish Vaidya Georgetown University Clay Shields Add to Reading List Source URL: security.cs.georgetown.edu Language: English - Date: 2016-06-29 23:07:54 Cyberwarfare Computational linguistics Automatic identification and data capture Computer accessibility Speech recognition Mel-frequency cepstrum Computer security Denial-of-service attack Artificial neural network CMU Sphinx Vector CAPTCHA
252	Learning Depth-Sensitive Conditional Random Fields for Semantic Segmentation of RGB-D Images Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Computational neuroscience Machine learning Conditional random field Computer vision Image segmentation Support vector machine Convolutional neural network Artificial neural network
253	Action Recognition with Actons Jun Zhu 1,2 , Baoyuan Wang 3 , Xiaokang Yang 1,2 , Wenjun Zhang 1,2 , Zhuowen Tu 4 1 Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University 2 Shanghai Key L Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2013-11-12 18:25:52 Computational neuroscience Artificial neural networks Statistical classification Conference on Computer Vision and Pattern Recognition Convolutional neural network Support vector machine Activity recognition
254	Sensing Urban Space: from Street View Recognition, Event Inference to Understand Urban Behavior Fan Zhang1, Hui Lin12, 1The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 2The Chinese University of Add to Reading List Source URL: ncgia.buffalo.edu Language: English* - Date: 2016-05-18 12:38:26 Computational neuroscience Artificial neural networks Computer vision Deep learning Formal sciences Convolutional neural network Conference on Computer Vision and Pattern Recognition Image segmentation Urban design Artificial intelligence Spatial analysis
255	Do Multi-Sense Embeddings Improve Natural Language Understanding? Dan Jurafsky Computer Science Department Stanford University Stanford, CA 94305, USA Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2015-10-31 15:44:36 Computational linguistics Semantics Natural language processing Lexical semantics Word-sense disambiguation Word embedding Word2vec Language model Semantic similarity SemEval Embedding Artificial neural network
256	Pairwise Decomposition of Image Sequences for Active Multi-View Recognition Edward Johns, Stefan Leutenegger and Andrew J. Davison Dyson Robotics Laboratory at Imperial College, Department of Computing, Imperial College Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2016-04-25 07:27:41 Artificial neural networks Computational neuroscience Computer vision Convolutional neural network Conference on Computer Vision and Pattern Recognition Outline of object recognition Convolutional Deep Belief Networks Machine vision Deep learning
257	ADVANCES in UNIVERSUM LEARNING 1 Vladimir Cherkassky 1 and Sauptik Dhar 2 Dept. of Electrical & Computer Eng., University of Minnesota, Minneapolis, MNtelfaxemail Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:34 Machine learning Statistical classification Support vector machine Learning Transduction Statistical learning theory Binary classification Pattern recognition Artificial neural network
258	Kagan Tumer Professor Oregon State University School of Mechanical, Industrial and Manufacturing Engineering 204 Rogers Hall, Corvallis, ORPhone: ( Add to Reading List Source URL: web.engr.oregonstate.edu Language: English - Date: 2012-02-21 16:03:14 Artificial intelligence International Conference on Autonomous Agents and Multiagent Systems David Wolpert Multi-agent system Agent-based model Artificial neural network
259	BUT2012 APPROACHES FOR SPOKEN WEB SEARCH MEDIAEVAL 2012 Igor Szöke Michal Fapšo Karel Veselý Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-09-27 10:12:20 Phonetics Phonology Speech recognition Computational neuroscience Phone Dynamic time warping Language model Keyword spotting Artificial neural network
260	How to speed up the learning mechanism in a connectionist model Szil´ard Vajda, Abdel Bela¨ıd Henri Poincar´e University, Nancy 1 Loria Research Center READ Group Campus Scientifique, BP. 239 Vandoeuvre les Nancy, 54 Add to Reading List Source URL: www.dsi.unifi.it Language: English - Date: 2009-12-17 04:49:47 Artificial neural networks Machine learning Computational neuroscience Pattern recognition Generalization error MNIST database Supervised learning Convolutional neural network Perceptron Support vector machine Multilayer perceptron Statistical classification

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