KI 2010: Advances in Artificial Intelligence: 33rd Annual German...
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Situation-Specific Intention Recognition for Human-Robot Cooperation Peter Krauthausen⋆ and Uwe D. Hanebeck Intelligent Sensor-Actuator-Systems ...
Incorporating Prior Knowledge into Nonparametric Conditional …
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WEBPeter Krauthausen, Masoud Roschani, and Uwe D. Hanebeck. Abstract—In this paper, the problem of sparse nonpara-metric conditional density estimation based on samples …
Sparse Mixture Conditional Density Estimation by Superficial …
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WEBPeter Krauthausen, Patrick Ruoff, and Uwe D. Hanebeck Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics, Karlsruhe Institute of …
2 Switching Predictive Control Using Reconfigurable State ...
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von M AMIR · · Zitiert von: 6 — In Advances in Neural Information. Processing Systems. 977–984. [21] Peter Krauthausen and Uwe D. Hanebeck A model-predictive switching approach to ... › ~givargis › pubs
Improving Adaptive Human-Robot Cooperation through Work ...
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Peter Krauthausen ◽. Uwe D. Hanebeck. Keyword(s):. Intention Recognition ◽. Robot Cooperation · Download Full-text ... › rom...
Informatik 2011: Workshops
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Superficial Gaussian Mixture Reduction Marco Huber, Peter Krauthausen, Uwe Hanebeck . Sensor Data Fusion: Trends, Solutions, Applications at INFORMATIK Informatik schafft C
Publikationen - Universität BremenUni Bremen
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... and Motion Recognition for a Humanoid Household Robot (Dirk Gehrig, Peter Krauthausen, Lukas Rybok, Hildegard Kuehne, Uwe D. Hanebeck, Tanja Schultz, ...
Uwe D. HanebeckDBLP
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Peter Krauthausen, Uwe D. Hanebeck: Parameter learning for hybrid Bayesian Networks with Gaussian mixture and Dirac mixture conditional densities.
Situation-Specific Intention Recognition for Human-Robot ...Springer
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von P Krauthausen · · Zitiert von: 7 — Peter Krauthausen &; Uwe D. Hanebeck. Conference paper Accesses. 2 Citations. Part of the Lecture Notes in Computer Science book series (LNAI,volume ...
Alle Infos zum Namen "Peter Krauthausen"
Situation-Specific Intention Recognition for Human-Robot …
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WEBAuthors : Peter Krauthausen, Uwe D. Hanebeck Published in: KI 2010: Advances in Artificial Intelligence Publisher: Springer Berlin Heidelberg
Seminar zum Praktikum: "Forschungsprojekt Intelligente Sensor …
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Peter Krauthausen Vesa Markus Klumpp Achim Hekler Henning Eberhardt Patrick Gerald Dunau Evgeniya Bogatyrenko Frederic Beutler Marcus Baum Professor Uwe D. Hanebeck: SWS: 2: LVNr.:
Lecture Notes in Informatics
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Marco Huber, Peter Krauthausen, Uwe Hanebeck Superficial Gaussian Mixture Reduction Pages: Full Text; Paul Horridge, Simon Maskell Using a probabilistic hypothesis density filter to confirm tracks in a multi- target environment Pages: Full Text; Stephan Reuter, Klaus Dietmayer, Sebastian Handrich
Regularized non-parametric multivariate density and ...OA.mg
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Regularized non-parametric multivariate density and conditional density estimation. Peter Krauthausen,Uwe D. Hanebeck. Artificial intelligence. Mathematics.
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Peter Krauthausen & Uwe D. Hanebeck. Conference Article published via Karlsruhe. In this paper, the first algorithm for learning hybrid Bayesian Networks ...
Masoud Roschani - researchr aliasresearchr.org
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Incorporating prior knowledge into nonparametric conditional density estimationPeter Krauthausen, Masoud Roschani, Uwe D. Hanebeck. amcc 2011:
Situation-Specific Intention Recognition for Human-Robot ...www.springerprofessional.de › situation-specific-intention...
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Autoren: Peter Krauthausen, Uwe D. Hanebeck. Verlag: Springer Berlin Heidelberg. Erschienen in: KI 2010: Advances in Artificial Intelligence. » Jetzt Zugang ...
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