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Machine vision
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161	(a) Data association in images = matching In matching which forms an integral part of all types of tracking and geometrical vision, the aim F F F Add to Reading List Source URL: www.margaritachli.com Language: English - Date: 2011-06-29 13:14:11 Image processing Machine learning Artificial intelligence Statistics Cluster analysis Mixture model Template matching Learning
162	Markov Models in Computer Vision Andrew Blake, Microsoft Research Cambridge Modern probabilistic modelling has revolutionized the design and implementation of machine vision systems. There are now numerous instances of s Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2009-09-04 11:08:00
163	Schnitzer_video1: The robot tracks and captures a fly under infrared illumination using real-time machine vision guidance. Schnitzer_video4: The robot captures three flies and transfers them to head holders. After pick Add to Reading List Source URL: newsphotos.stanford.edu Language: English - Date: 2015-05-26 17:04:36 Robot Locomotion Fly
164	arXiv:1207.3510v2 [cs.CV] 18 DecHMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm Quan Wang Signal Analysis and Machine Perception Laboratory Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-12-19 20:29:27 Estimation theory Image segmentation Expectationmaximization algorithm Canny edge detector Statistics Applied mathematics Image processing Artificial intelligence Computer vision Generalised Hough transform
165	TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation J. Shotton2 , J. Winn1 , C. Rother1 , and A. Criminisi1 1 Add to Reading List Source URL: jamie.shotton.org Language: English - Date: 2013-04-10 20:16:06 Artificial intelligence Learning Machine learning Conditional random field Image segmentation Boosting Mixture model Statistical classification Shape context Constellation model Maximum likelihood estimation Graph cuts in computer vision
166	Contour-Based Learning for Object Detection Jamie Shotton Department of Engineering University of Cambridge Add to Reading List Source URL: jamie.shotton.org Language: English - Date: 2013-04-10 20:18:03 Artificial intelligence Computer vision Machine learning Feature detection Ensemble learning Boosting Constellation model AdaBoost Image segmentation Edge detection Outline of object recognition Decision stump
167	Two-Class Weather Classification∗ Cewu Lu§ § Di Lin† Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2014-04-14 11:12:43 Statistical classification Artificial intelligence Learning Statistics Machine learning Support vector machine Conference on Computer Vision and Pattern Recognition K-nearest neighbors algorithm AdaBoost
168	Machine Vision & Auto ID Track, Trace & Control Solutions ©2015 Microscan Systems, Inc. Precision Data Acquisition Add to Reading List Source URL: files.microscan.com Language: English - Date: 2015-02-12 12:55:06
169	ICCV’2013 Sydney, Australia VisDA Workshop Heterogeneous Domain Adaptation: Add to Reading List Source URL: paul.rutgers.edu Language: English - Date: 2014-12-01 03:20:43 Machine learning Statistical classification International Conference on Computer Vision Regression analysis Classifier
170	New Contacts for Laser Machine Vision Products. Dear Customer, As a world leader in providing laser-based solutions to commercial and scientific research markets with a strong European presence, Coherent is keen to work Add to Reading List Source URL: www.coherent.fr Language: English - Date: 2014-03-28 06:46:10

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