Online Self-Calibration for Robotic Systems J´erˆome Maye, Hannes Sommer, Gabriel Agamennoni, Roland Siegwart, and Paul Furgale Autonomous Systems Lab, ETH Zurich, Switzerland email: {jerome.maye, hannes.sommer, gabrie

Source URL: europa2.informatik.uni-freiburg.de

• Statistics
• Estimation theory
• Algebra
• Regression analysis
• Mathematics
• Parametric statistics
• Least squares
• Linear filters
• Fisher information
• Kalman filter
• Matrix
• Calibration

Microsoft PowerPoint - panel

Source URL: terpconnect.umd.edu

• Statistics
• Estimation theory
• Analysis of variance
• Regression analysis
• Statistical models
• Fixed effects model
• Panel data
• Random effects model

Real Time Head Pose Estimation with Random Regression Forests Gabriele Fanelli1 Juergen Gall1 1 BIWI, ETH Zurich {fanelli,gall,vangool}@vision.ee.ethz.ch

Source URL: files.is.tue.mpg.de

Evaluating perceived trust from procedurally animated gaze - Supplementary Materials Aline Normoyle, Jeremy B. Badler, Teresa Fan, Norman I. Badler University of Pennsylvania Vinicius J. Cassol, Soraia R. Musse † Ponti

Source URL: www.alinenormoyle.com

• Statistics
• Parametric statistics
• Estimation theory
• Statistical theory
• Statistical tests
• Regression analysis
• Emotions
• Trust
• Linear regression
• Analysis of variance
• G factor

Overview Regression Definition, Loss function, Quadratic Loss, Linear Loss, Robustness Risk Functionals Expected, Empirical, and Regularized Risk Maximum Likelihood Estimation

Source URL: alex.smola.org

Nonparametric spatial models for clustered ordered periodontal data Dipankar Bandyopadhyay∗ Department of Biostatistics Virginia Commonwealth University, Richmond, VA, USA

Source URL: www.carloalberto.org

• Statistics
• Regression analysis
• Probability distributions
• Estimation theory
• Stable distributions
• Normal distribution
• Probit model
• Linear regression
• Nonparametric statistics
• Multivariate normal distribution
• Gibbs sampling
• Probit

On Iterative Hard Thresholding Methods for High-dimensional M-Estimation arXiv:1410.5137v2 [cs.LG] 21 OctPrateek Jain∗

Source URL: arxiv.org

• Statistics
• Estimation theory
• Statistical theory
• Consistent estimator
• M-estimator
• Loss function
• Linear regression
• Sufficient statistic

Multi-agents adaptive estimation and coverage control using Gaussian regression Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto Abstract— We consider a scenario where the aim of a gro

Source URL: automatica.dei.unipd.it

Class Generative Models based on Feature Regression for Pose Estimation of Object Categories Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann Institute for Information Processing (TNT), Leibniz Universit

Source URL: www.tnt.uni-hannover.de

• Artificial intelligence
• Statistics
• Computer vision
• Robot control
• Econometrics
• Machine learning
• 3D single-object recognition
• Outline of object recognition
• Pose
• Cross-validation
• Regression analysis

Parametric Bandits: The Generalized Linear Case Olivier Capp´e LTCI Telecom ParisTech et CNRS Paris, France

Source URL: papers.nips.cc

• Statistics
• Estimation theory
• Regression analysis
• Statistical theory
• Generalized linear models
• M-estimators
• Poisson regression
• Gamma distribution
• Maximum likelihood estimation
• Linear regression
• Fisher information
• Multi-armed bandit