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Gaussian random field
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#	Item
21	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials ¨ Philipp Kr¨ahenbuhl Computer Science Department Add to Reading List Source URL: graphics.stanford.edu Language: English - Date: 2012-10-20 12:40:10 Computer vision Conditional random field Machine learning Mathematics Applied mathematics Segmentation Artificial intelligence Gaussian function Graph cuts in computer vision Image processing Graphical models Theoretical computer science
22	Transductive Learning for Multi-Task Copula Processes arXiv:1406.0304v1 [cs.LG] 2 Jun[removed]Technical Report- Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:43 Actuarial science Copula Gaussian process Normal distribution Kernel density estimation Correlation and dependence Probability integral transform Gaussian random field Statistics Statistical dependence Stochastic processes
23	Efficient Minimum Cost Reactive Monitoring of Gaussian Random Field in Wireless Sensor Networks A. Mohtasham∗† , Ahmad Khonsari∗† , and Mohammad S. Talebi† ∗ ECE Department, University of Tehran, Tehran, Ira Add to Reading List Source URL: www.hipc.org Language: English - Date: 2009-11-13 17:38:49 ANT Algorithm Computing Wireless sensor network Wireless networking Technology
24	UPPSALA DISSERTATIONS IN MATHEMATICS 86 Gaussian Bridges - Modeling and Inference Maik Görgens Add to Reading List Source URL: uu.diva-portal.org Language: English - Date: 2014-10-13 02:09:07 Brownian bridge Brownian motion Wiener process Normal distribution Karhunen–Loève theorem Ornstein–Uhlenbeck process Gaussian random field Central limit theorem Random walk Statistics Stochastic processes Gaussian process
25	1012 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 3, MARCH 2010 Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:49:43 Statistical models Probability theory Networks Markov random field Covariance matrix Sparse matrix Matrix Multivariate normal distribution Conjugate prior Statistics Bayesian statistics Graphical models
26	Correctness of belief propagation in Gaussian graphical models of arbitrary topology Yair Weiss Computer Science Division 485 Soda Hall UC Berkeley Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2002-10-16 06:36:25 Mathematics Probability theory Bayesian statistics Statistical models Networks Belief propagation Bayesian network Markov random field Topology Graph theory Graphical models Statistics
27	Σ-Optimality for Active Learning on Gaussian Random Fields Yifei Ma Machine Learning Department Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-10 18:51:31 Design of experiments Optimal design Quality Submodular set function Breadth-first search Markov random field Gaussian process Mathematical optimization Reinforcement learning Statistics Operations research Search algorithms
28	3136 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 11, NOVEMBER 2004 Embedded Trees: Estimation of Gaussian Processes on Graphs with Cycles Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2004-11-30 21:27:12 Probability theory Belief propagation Coding theory Markov models Markov random field Planar graph Matrix Tree decomposition Kalman filter Graph theory Mathematics Graphical models
29	Spatio-Temporal Modeling of Precipitation Using Gaussian Markov Random Fields Johan Lindström Mathematical Statistics Centre for Mathematical Sciences Add to Reading List Source URL: www.rap.ucar.edu Language: English - Date: 2008-08-29 12:24:12 Probability Artificial intelligence Networks Probability theory Theoretical computer science Markov chain Markov random field Random field Statistics Markov models Probability and statistics
30	Modeling and Estimation in Gaussian Graphical Models: Maximum-Entropy Methods and Walk-Sum Analysis by Venkat Chandrasekaran Submitted to the Department of Electrical Engineering and Computer Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:56 Bayesian statistics Probability theory Networks Statistical models Markov random field Entropy Chordal graph Belief propagation Graph theory Statistics Graphical models

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