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Extraction
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#	Item
291	CHARACTER SEGMENTATION FOR HANDWRITTEN BANGLA WORDS USING ARTIFICIAL NEURAL NETWORK T. K. Bhowmik # , A. Roy * and U. Roy * # IBM Global Services Pvt Ltd, Embassy Golf Link, Bangalore, INDIA. Add to Reading List Source URL: www.dsi.unifi.it Language: English - Date: 2009-12-17 04:49:48 Artificial intelligence Computer vision Feature detection Image processing Vision Artificial intelligence applications Image segmentation Market segmentation Hough transform Optical character recognition Feature extraction Binary image
292	Mining Relations from Git Commit Messages — an Experience Report Rikard Andersson∗ , Morgan Ericsson†∗ , Anna Wingkvist† ∗ Chalmers \| University of Gothenburg Gothenburg, Sweden Add to Reading List Source URL: www2.lingfil.uu.se Language: English - Date: 2014-10-16 02:36:21 Linguistics Language Cognitive science Computational linguistics Natural language processing Named-entity recognition Relex Information extraction Statistical classification P versus NP problem Part-of-speech tagging Syntax
293	ORTHODONTICS Orthodontics is a specialised field of dentistry, which involves the treatment of dental, facial and skeletal irregularities. These irregularities either individually or in combination make up a malocclusion Add to Reading List Source URL: hugoorthodontics.com Language: English - Date: 2014-09-17 06:49:40 Medicine Dentistry Orthodontics Clinical medicine Dental braces Orthodontic technology Anchorage Malocclusion Elastics Retainer Orthognathic surgery Dental extraction
294	The Rio de Janeiro State University - UERJ Laboratory of Photogrammetry and Remote Sensing The E-Foto project The Extraction of a Digital Surface Model (DSM) Authors: Patricia Farias Reolon and Lia de Souza e Simões Fig Add to Reading List Source URL: www.efoto.eng.uerj.br Language: English - Date: 2016-06-30 15:25:04 Cartography Photogrammetry Digital elevation model DSM Remote sensing Geography Geomatics Physical geography
295	Application Note \| AN101 Applying RingDown™ Prognostics to Power Drive Systems Purpose The purpose of this Application Note is to cover the extraction of signals for use with RingDown™. RingDown is a prognostic metho Add to Reading List Source URL: www.ridgetopgroup.com Language: English - Date: 2015-07-18 01:30:08 Electrical engineering Electromagnetism Engineering Electric power conversion Ringdown Prognostics Power inverter Switched-mode power supply Power supply Audio power Capacitor
296	Crawling the Hidden Web (Extended Abstract) Sriram Raghavan Hector Garcia-Molina Add to Reading List Source URL: www10.org Language: English - Date: 2001-02-06 23:15:34 World Wide Web Computing Information science Internet search engines Search engine software Web crawler Deep web Search engine optimization Web search engine Search engine indexing Information extraction Crawler
297	Uncovering and Managing the Impact of Methodological Choices for the Computational Construction of Socio-Technical Networks from Texts Jana Diesner September 2012 CMU-ISR Add to Reading List Source URL: www.casos.cs.cmu.edu Language: English - Date: 2013-09-16 08:17:54 Academia Network theory Natural language processing Sociology Computational linguistics Systems science Self-organization Social information processing Information extraction Social network Computer network Named-entity recognition
298	Morpheme Extraction Task at FIRE 2014 Nilotpala Gandhi1, Kanika Mehta2, Prashasti Kapadia2, Adda Roshni2, Vaibhavi Sonavane2 and Prasenjit Majumder2 1 Gujarat University, Ahmedabad, Gujarat Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2014-12-05 23:51:05 Linguistics Linguistic morphology Computational linguistics Grammar Language Linguistic typology Morpheme Stemming Morphology Natural language processing Bound and unbound morphemes Inflection
299	CASE STUDY Using the eBee drone to measure extraction volume in an open pit Add to Reading List Source URL: www.sensefly.com Language: English - Date: 2015-07-09 04:32:30 Lidar Robotic sensing Photogrammetry Unmanned aerial vehicle Surveying Geographic information system Technology Engineering Control engineering
300	Point Feature Extraction on 3D Range Scans Taking into Account Object Boundaries Bastian Steder Radu Bogdan Rusu Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2011-05-22 16:16:32 Feature detection Artificial intelligence Vision Light Speeded up robust features Feature Visual descriptor Scale-invariant feature transform Outline of object recognition Interest point detection 3D scanner Computer vision

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