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Linear filters / Markov models / Bayesian statistics / Kalman filter / Expectation–maximization algorithm / Hidden Markov model / Gaussian process / Gaussian function / Normal distribution / Statistics / Estimation theory / Robot control


Probabilistic Modeling of Human Movements for Intention Inference Zhikun Wang1,2 , Marc Peter Deisenroth2 , Heni Ben Amor2 , David Vogt3 , Bernhard Schölkopf1 , Jan Peters1,2 1 MPI for Intelligent Systems, Spemannstr. 3
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Document Date: 2012-06-11 09:24:01


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File Size: 1,83 MB

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City

Freiberg / Darmstadt / Tübingen / /

Company

State University of New York Press / MIT Press / /

Country

Germany / Jordan / /

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approximate algorithms / parallel computing / inference algorithm / nonlinear dynamical systems / real-time application / gaussian process dynamical systems / approximate algorithm / approximate inference algorithm / /

Organization

Zj / MIT / U.S. Securities and Exchange Commission / Pattern Analysis and Machine Intelligence / State University of New York / /

Person

M. Matsushima / F. Miyazaki / T. Hashimoto / Marc Peter / J.M. Wang / M. Takeuchi / /

Position

latent variable model for inferring unknown human intentions / robot player / representative / forward / player / D.J. / /

Product

Pentax K-x Digital Camera / Altec XT1 Speakers / /

PublishedMedium

Machine Learning / New York Press / /

Technology

approximate inference algorithm / Monte Carlo EM algorithm / proposed algorithm / sliding windows / GPS / approximate algorithm / inference algorithm / machine learning / simulation / EM algorithm / /

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http /

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