Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives Marco Ewerton1 , Gerhard Neumann1 , Rudolf Lioutikov1 , Heni Ben Amor2 , Jan Peters1,3 and Guilherme Maeda1 Abstract— Robots that interact

Source URL: dl.dropboxusercontent.com

Modeling Annotated Data David M. Blei Michael I. Jordan Division of Computer Science

Source URL: www.cs.princeton.edu

• Statistics
• Probability
• Artificial intelligence
• Statistical natural language processing
• Machine learning
• Statistical models
• Latent Dirichlet allocation
• Probability distributions
• Mixture model
• Expectationmaximization algorithm
• Variational Bayesian methods
• Automatic image annotation

Discrete Mixtures Models Stephane Hess, ETHZ Michel Bierlaire, EPFL John W. Polak, Imperial College Conference paper STRC 2006

Source URL: www.strc.ch

• Statistics
• Statistical models
• Estimation theory
• Bayesian statistics
• Machine learning
• Regression analysis
• Discrete choice
• Choice modelling
• Probability distribution
• Mixture model
• Likelihood function
• Stochastic process

Capital Terrace December Package Package Includes *Heaters to warm the evening *Seating at a mixture of comfortable couch groupings and cocktail tables

Source URL: da6cx85l3jtdz.cloudfront.net

CopyrightX: Final Examination Spring 2015 Professor William Fisher Question #1 The following narrative is a mixture of fact and fiction. The details and dates of some of the real events have been altered; other aspects o

Source URL: copyx.org

Wed.P7b.02 Gaussian Map based Acoustic Model Adaptation Using Untranscribed Data for Speech Recognition in Severely Adverse Environments

Source URL: www.utdallas.edu

• Computational linguistics
• Automatic identification and data capture
• Computer accessibility
• Speech recognition
• Mixture model
• Hidden Markov model
• Speech corpus

AN ADVANCED FEATURE COMPENSATION METHOD EMPLOYING ACOUSTIC MODEL WITH PHONETICALLY CONSTRAINED STRUCTURE Wooil Kim1 and John H. L. Hansen2 1 2

Source URL: www.utdallas.edu

• Machine learning
• Artificial intelligence
• Learning
• Markov models
• Computer accessibility
• Speech recognition
• Mixture model
• Markov chain

Simulated Annealing ....................... Gaussian Mixture ............

Source URL: genome.sph.umich.edu

• Monte Carlo methods
• Mathematical optimization
• Mathematical analysis
• Metaheuristics
• Simulated annealing
• Numerical analysis
• Gibbs sampling
• Applied mathematics
• Global optimization
• Annealing
• Stochastic optimization

1 Efficient Data Association in Images using Active Matching Margarita Chli and Andrew J. Davison {mchli, ajd}@doc.ic.ac.uk

Source URL: www.margaritachli.com

• Artificial intelligence
• Machine learning
• Video processing
• Image processing
• Signal processing
• Learning
• Template matching
• Outline of object recognition
• Mixture model
• Motion estimation
• Pattern recognition
• Video tracking

TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation J. Shotton2 , J. Winn1 , C. Rother1 , and A. Criminisi1 1

Source URL: jamie.shotton.org

• 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