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Mixture
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#	Item
91	2013 IEEE International Conference on Computer Vision Cosegmentation and Cosketch by Unsupervised Learning Jifeng Dai1,2 , Ying Nian Wu2 , Jie Zhou1 , and Song-Chun Zhu2 1 Department of Automation, Tsinghua University, Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2014-04-20 03:06:17 Image processing Statistics Artificial intelligence Image segmentation Machine learning Mixture model Template matching Market segmentation Expectationmaximization algorithm
92	CENTURY™ 1105 CENTURY™ 1105 Isostearic Acid is a unique mixture of branched and straight-chain saturated C18 fatty acids. The high content of branched acids makes CENTURY™ 1105 Isostearic Acid a liquid product, whi Add to Reading List Source URL: www.arizonachemical.com Language: English - Date: 2015-06-22 09:49:33 Chemistry Analytical chemistry Acid value Saponification value Saturation
93	A Latent Dirichlet Allocation Model for Entity Resolution Indrajit Bhattacharya Lise Getoor University of Maryland Add to Reading List Source URL: drona.csa.iisc.ernet.in Language: English - Date: 2005-12-21 17:12:02 Probability Statistics Sampling Survey methodology Mixture model Gibbs sampling Record linkage Latent Dirichlet allocation Probability distribution Prior probability Causality
94	SAFETY DATA SHEET Latest Revision: SECTION 1 - IDENTIFICATION OF THE SUBSTANCE/MIXTURE AND THE COMPANY/UNDERTAKING Product Identifier: Material Name: Add to Reading List Source URL: www.redlandbrick.com Language: English - Date: 2015-05-18 09:36:19 Health Safety Occupational safety and health Chemical safety Environmental law Industrial hygiene Safety engineering Safety data sheet Right to know Occupational hygiene Permissible exposure limit Silicosis
95	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 53, NO. 8, AUGUSTRobust Rooftop Extraction From Visible Band Images Using Higher Order CRF Add to Reading List Source URL: peterwonka.net Language: English - Date: 2015-06-12 18:07:37 Artificial intelligence Machine learning Image segmentation Image processing Learning Vision Computer vision Region growing Conditional random field Market segmentation Mixture model Pixel
96	Correlated Community Estimation Models Over a Set of Names Suresh Veluru∗ , Yogachandran Rahulamathavan∗ , Suresh Manandhar† , and Muttukrishnan Rajarajan∗ ∗ Information Security Group, School of Engineering a Add to Reading List Source URL: www.uncertaintyofidentity.com Language: English - Date: 2014-11-25 09:34:28 Statistics Probability Probability distributions Statistical natural language processing Latent Dirichlet allocation Statistical models Mixture model Topic model Dirichlet distribution Multinomial distribution Gibbs sampling Perplexity
97	A Bayesian Approach to Learning 3D Representations of Dynamic Environments Ralf K¨astner, Nikolas Engelhard, Rudolph Triebel, and Roland Siegwart Abstract We propose a novel probabilistic approach to learning spatial re Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2010-12-20 07:34:33 Statistics Statistical theory Estimation theory Bayesian statistics Statistical models Signal processing Cluster analysis Mixture model Maximum likelihood estimation Normal distribution K-means clustering Likelihood function
98	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:53 Statistics Probability Statistical natural language processing Probability distributions Estimation theory Regression analysis Dynamic topic model Latent Dirichlet allocation Variational Bayesian methods Mixture model Topic model Normal distribution
99	INTERSPEECHICSLP A Novel Framework of Text-independent Speaker Veriﬁcation based on Utterance Transform and Iterative Cohort Modeling Ming Liu, Huazhong Ning, Thomas S. Huang Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2007-01-02 21:18:26 Statistics Probability Normal distribution Mixture model Maximum likelihood estimation
100	XB+ Safety Data Sheet according to Federal Register / Vol. 77, NoMonday, March 26, Rules and Regulations SECTION 1: Identification of the substance/mixture and of the company/undertaking 1.1. Add to Reading List Source URL: msds.simplot.com Language: English - Date: 2014-10-13 12:14:45 Toxicology Occupational safety and health Chemistry Safety Safety data sheet Toxicity GHS hazard statements Potassium sulfate Median lethal dose Malathion

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