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Robot control / Kalman filter / Parameter / Particle filter / Bayesian inference / Normal distribution / Bayes estimator / Estimator / Statistics / Estimation theory / Statistical inference


Bayesian Estimation with Uncertain Parameters of Probability Density Functions Vesa Klumpp and Uwe D. Hanebeck Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics, Universit¨at Karlsruhe
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Document Date: 2013-08-20 05:05:04

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City

London / Cologne / /

Company

Uwe D. Hanebeck Intelligent Sensor-Actuator-Systems Laboratory / /

Country

Germany / /

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Facility

Carnegie Mellon University / /

IndustryTerm

estimation applications / estimation algorithms / nonlinear systems / information processing / sensor networks / given processing rule / proposed processing / black box systems / linear systems / sensor network / /

Organization

Carnegie Mellon University / Institute for Anthropomatics / Robotics Institute / /

Person

Fabio Gagliardi Cozman / Dietrich Fr¨anken / Benjamin Noack / Felix Sawo / Sanjib Basu / Emmanuel Duflos / Francois Caron / Manuel Davy / Arnaud Doucet / N. J. Gordon / Peter Walley / Philippe Vanheeghe / Dietrich Brunn / /

Position

special stochastic forward / D. J. / /

ProvinceOrState

Alaska / /

Technology

speech recognition / Simulation / estimation algorithms / /

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