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Feature recognition
Results: 683

#	Item
471	Microsoft Word - TJUT-TJU@TRECVID 2011_Surveillance Event Detection_revised.doc Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-01-10 13:32:29 Imaging Optics Object recognition Corner detection Optical flow Feature Interest point detection Scale-invariant feature transform Computer vision Image processing Vision
472	FEATURE ENGINEERING IN CONTEXT-DEPENDENT DEEP NEURAL NETWORKS FOR CONVERSATIONAL SPEECH TRANSCRIPTION Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-07-09 06:16:45 Statistics Speech recognition Hidden Markov model Artificial neural network Perceptron Backpropagation Boltzmann machine Multilayer perceptron Generalized method of moments Neural networks Machine learning Cybernetics
473	Brno University of Technology at TRECVid 2009 Petr Chmelař, Vítězslav Beran, Adam Herout, Michal Hradiš, Ivo Řezníček, Pavel Zemčík Brno University of Technology Faculty of Information Technology Božetěchova 2 Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-12-07 10:16:36 Vision Imaging Multimedia Information Retrieval Feature Maximally stable extremal regions Support vector machine Segmentation Pattern recognition Bag of words model in computer vision Computer vision Image processing Artificial intelligence
474	Holey Tube Reference Guide Aluminum vs. Steel--------------------------------------------------------------------- 2 Peace of Mind--------------------------------------------------------------------------- 3 Made with 80 Add to Reading List Source URL: download.8020.net Language: English - Date: 2012-06-07 16:40:14 Engineering Screw Woodworking 80/20 Wrench Stem Flange Feature recognition Nut Construction Technology Metalworking
475	A ROBUST QUASI-DENSE MATCHING APPROACH FOR UNDERWATER IMAGES Han Hu1, Graduate student Yuri Rzhanov1, Professor Thierry Boyer2 1 Center for Coastal and Ocean Mapping, University of New Hampshire, Durham, NH 03824 Add to Reading List Source URL: ccom.unh.edu Language: English - Date: 2014-06-12 09:51:30 Optics Object recognition Fundamental matrix Photogrammetry Epipolar geometry Scale-invariant feature transform Maximally stable extremal regions Computer vision Vision Imaging
476	Expert Systems with Applications[removed]–9611 Contents lists available at SciVerse ScienceDirect Expert Systems with Applications journal homepage: www.elsevier.com/locate/eswa Add to Reading List Source URL: www.columbia.edu Language: English - Date: 2012-11-27 10:40:19 Statistical classification Machine learning Computer vision Principal component analysis Support vector machine Feature extraction Feature selection Linear discriminant analysis Pattern recognition Statistics Multivariate statistics Dimension reduction
477	A Feature-Rich Constituent Context Model for Grammar Induction Dave Golland John DeNero University of California, Berkeley Google [removed] Add to Reading List Source URL: nlp.cs.berkeley.edu Language: English - Date: 2014-11-13 15:24:09 Language Computational linguistics Speech recognition Inside-outside algorithm Natural language processing Stochastic grammar Syntax Parsing Bracketing Linguistics Compiler construction Science
478	Audiovisual Phonologic-Feature-Based Recognition of Dysarthric Speech Mark Hasegawa-Johnson, Jon Gunderson, Thomas Huang, and Adrienne Perlman Automatic dictation software with reasonably high word recognition accuracy i Add to Reading List Source URL: cita.disability.uiuc.edu Language: English - Date: 2006-11-29 10:28:16 Phonetics Speech Language Computational linguistics Speech recognition Speech perception Support vector machine HTK Human communication Mind Linguistics
479	Towards a General Abstraction Through Sequences of Conceptual Operations Gregor Miller, Steve Oldridge and Sidney Fels Human Communication Technologies Laboratory University of British Columbia Vancouver, Canada V6T1Z4 Add to Reading List Source URL: hct.ece.ubc.ca Language: English - Date: 2011-11-24 20:11:07 Image processing Correspondence problem Visual perception Video tracking Abstraction Feature Optical flow Object recognition Computer vision Imaging Vision
480	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 Oct[removed]Jeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-07 20:25:05 Cross-validation Support vector machine Perceptual learning Statistics Model selection One-shot learning

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