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#	Item
41	Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions Chenxia Wu1 , Jiemi Zhang2 , Bart Selman3 , Silvio Savarese4 and Ashutosh Saxena5 Abstract— We present a robotic system that watches a human us Add to Reading List Source URL: cvgl.stanford.edu Language: English - Date: 2016-04-30 19:09:08 Humancomputer interaction Artificial intelligence Computing Conference on Computer Vision and Pattern Recognition Image segmentation Kinect Causality Computer vision Latent Dirichlet allocation Humanrobot interaction
42	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
43	Image and Vision Computing–61 Contents lists available at ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2015-11-12 06:27:17 Face recognition Ensemble learning Surveillance Statistical models Face detection Boosting Latent variable Facial recognition system ViolaJones object detection framework
44	3rd Annual Health Econometrics Workshop Add to Reading List Source URL: www.healtheconometrics.org Language: English - Date: 2011-09-23 00:53:50 Statistical models Machine learning Estimation theory Categorical data Latent class model Mixture model Maximum likelihood estimation Errors-in-variables models Latent variable model
45	The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284. Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-08 08:36:36 Natural language processing Computational linguistics Semantics Vectors Machine learning Latent semantic analysis Semantic similarity Distributional semantics Word embedding Vector space model Document-term matrix Euclidean vector
46	INVESTIGATION OF LATENT TRACES USING INFRARED REFLECTANCE HYPERSPECTRAL IMAGING Till Schubert, Susanne Wenzel, Ribana Roscher, Cyrill Stachniss Department of Photogrammetry, Institute of Geodesy and Geoinformation, Unive Add to Reading List Source URL: www.ipb.uni-bonn.de Language: English - Date: 2016-05-09 08:52:58 Spectroscopy Remote sensing Statistical classification Electromagnetic spectrum Machine learning Hyperspectral imaging Airborne real-time cueing hyperspectral enhanced reconnaissance Linear discriminant analysis Infrared Ultraviolet Spectral imaging Binary classification
47	Efficiently Encoding Term Co-occurrences in Inverted Indexes Marcus Fontoura∗ Maxim Gurevich Add to Reading List Source URL: fontoura.org Language: English - Date: 2011-08-25 01:43:02 Software optimization Search algorithms Machine learning Precomputation Bitmap Champion list Database index Ranking Conjunctive query Nearest neighbor search Latent semantic analysis Lookup table
48	Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Estimation theory Regression analysis Statistical models Bayesian statistics Econometrics Maximum likelihood estimation Expectationmaximization algorithm Variational Bayesian methods Linear regression Autoregressive model Variance function Mixture model
49	Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach Univ. of California, San Diego Add to Reading List Source URL: acsweb.ucsd.edu Language: English - Date: 2015-06-08 14:56:53 Statistical natural language processing Hashtag Latent Dirichlet allocation Topic model Dynamic topic model Twitter Probabilistic latent semantic analysis Deep learning Non-negative matrix factorization Topic and comment
50	MMDS 2012 Stanford University Large Scale Machine Learning for Query Document Matching in Web Search* Hang Li Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:29:59 Natural language processing Latent semantic analysis Utube Search engine indexing YouTube Latent Dirichlet allocation Information retrieval