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51	Modelling Gaussian Fields and Geostatistical Data Using Gaussian Markov Random Fields Outline 1. Introduction 2. Geostatistical Models and Gaussian Markov Random Fields Add to Reading List Source URL: evavivalt.com Language: English - Date: 2014-11-11 20:22:18 Geostatistics Statistics Data Probability theory Variogram Covariance function Stationary process Random field Time series Markov random field Ising model Covariance
52	1 Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models Zhuowen Tu, Katherine L. Narr, Piotr Doll´ar, Ivo Dinov, Paul M. Thompson, and Arthur W. Toga Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2007-08-09 13:56:19 Artificial intelligence Machine learning Learning Graphical models Image segmentation Discriminative model Principal component analysis Conditional random field AdaBoost Functional magnetic resonance imaging Markov random field Bag-of-words model in computer vision
53	Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:10 Artificial intelligence Probability Statistics Bayesian statistics Markov networks Graphical models Markov random field Probability theory Image segmentation Probabilistic soft logic Activity recognition Support vector machine
54	STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom ABSTRACT State- Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-07-12 11:46:12 Markov models Machine learning Artificial intelligence Learning Computational linguistics Speech recognition software Computer accessibility Speech recognition Hidden Markov model Conditional random field Language model Image segmentation
55	Latent Trees for Estimating Intensity of Facial Action Units Sebastian Kaltwang Imperial College London Sinisa Todorovic Oregon State University Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2015-11-12 06:27:16 Machine learning Statistics Learning Graphical models Conditional random field Support vector machine Expectationmaximization algorithm
56	Structured and Infinite Discriminative Models for Speech Recognition Jingzhou Yang Homerton College Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-07-26 12:00:52 Statistics Learning Artificial intelligence Machine learning Statistical models Statistical inference Graphical models Structured prediction Discriminative model Conditional random field Generative model Hidden Markov model
57	Primal Sketch: Integrating Structure and Texture ? Cheng-en Guo, Song-Chun Zhu, and Ying Nian Wu Departments of Statistics and Computer Science University of California, Los Angeles Add to Reading List Source URL: www.stat.ucla.edu Language: English Signal processing Image processing Linear filters Filter theory Feature detection Gabor filter Image segmentation Markov random field Edge detection Filter Canny edge detector Simple cell
58	ParsCit: An open-source CRF reference string parsing package Isaac G. Councill∗ , C. Lee Giles∗, Min-Yen Kan† ∗ College of Information Sciences & Technology The Pennsylvania State University Add to Reading List Source URL: wing.comp.nus.edu.sg Language: English Compiler construction Bibliography Conditional random field Machine learning Parsing N-gram CiteSeer Author citation Lexical analysis Parenthetical referencing String Reference management software
59	Department Logo / Letterhead PRESS RELEASE Add to Reading List Source URL: www.ots.ca.gov Language: English - Date: 2015-10-19 19:49:40 Driving under the influence Drunk driving in the United States Drunk drivers Designated driver Impaired driving in Canada Road traffic safety Random checkpoint Field sobriety testing
60	UNIVERSIDADE TÉCNICA DE LISBOA INSTITUTO SUPERIOR TÉCNICO CARNEGIE MELLON UNIVERSITY The Geometry of Constrained Structured Prediction: Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2012-07-25 04:27:02 Machine learning Structured prediction Algorithm Mathematical logic Theoretical computer science Conditional random field Support vector machine Graphical model

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