output/maye11bayesian.dvi

Source URL: europa.informatik.uni-freiburg.de

• Bayesian statistics
• Probability distributions
• Mixture model
• Posterior predictive distribution
• Hidden Markov model
• Normal distribution
• Hyperparameter
• Prior probability
• Dirichlet distribution
• RT
• Image segmentation
• Dirichlet-multinomial distribution

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar

Source URL: users.cms.caltech.edu

• Partial differential equations
• Differential equation
• NavierStokes equations
• Thorn
• Mixture theory
• Groundwater model
• Nonlinear system

Curb Detection for a Pedestrian Robot in Urban Environments Jérôme Maye, Ralf Kaestner, and Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland email: {jerome.maye, ralf.kaestner, roland.siegwart}@mavt.ethz

Source URL: europa.informatik.uni-freiburg.de

• Estimation theory
• Expectationmaximization algorithm
• Missing data
• Mixture model
• Image segmentation
• Maximum likelihood estimation
• RANSAC
• Algorithm
• Normal distribution

1 Preprint of paper to appear at ECCV 2010 2

Source URL: vast.uccs.edu

• Probability distributions
• Robust statistics
• Survival analysis
• Actuarial science
• Statistical theory
• Normalization
• Shape parameter
• Weibull distribution
• Normal distribution
• Mixture model
• Median
• Outlier

1 Event-based, 6-DOF Camera Tracking for High-Speed Applications Abstract—In contrast to standard cameras, which produce frames at a fixed rate, event cameras respond asynchronously to pixel-level brightness changes,

Source URL: rpg.ifi.uzh.ch

• Robot control
• Computer animation
• Computer vision
• Probability distributions
• Exponentials
• Exponential family
• Kalman filter
• Pose
• Normal distribution
• Variational Bayesian methods
• Motion capture
• Mixture model

Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Probability
• Statistical natural language processing
• Probability distributions
• Latent Dirichlet allocation
• Topic model
• Mixture model
• Dirichlet distribution
• Normal distribution
• Gibbs sampling
• Statistical inference

Robustifying Bayesian nonparametric mixtures for count data Antonio Canale Department of Economics and Statistics and Collegio Carlo Alberto, University of Torino, Torino, Italy

Source URL: www.carloalberto.org

• Stochastic processes
• Statistical models
• Probability distributions
• Machine learning
• Statistical theory
• Mixture model
• PitmanYor process
• Dirichlet process
• Parametric model
• Poisson distribution
• Nonparametric statistics

Combining observation models in dual exposure problems using the Kullback-Leibler Divergence

Source URL: decsai.ugr.es

• Statistics
• Probability
• Mathematical analysis
• Probability distributions
• Differential forms
• Thermodynamics
• Gamma distribution
• Closed and exact differential forms
• NC
• Constructible universe
• Mixture model
• Normal distribution

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan*1 , Animesh Garg*2 , Sachin Patil1 , Colin Lea3 , Gregory Hager3 , Pieter Abbeel1 , Ken Goldberg1,2 *denotes e

Source URL: goldberg.berkeley.edu

• Statistics
• Markov models
• Machine learning
• Computational statistics
• Cluster analysis
• Mixture model
• Image segmentation
• Hidden Markov model
• K-means clustering
• Expectationmaximization algorithm
• BaumWelch algorithm
• Hierarchical clustering

Submitted to INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Numer. Meth. Fluids 2007; 00:1–6 Prepared using fldauth.cls [Version: v1.01] Homogeneous Equilibrium Mixture Model for Simulation of

Source URL: scales.colorado.edu