Skip to main content Skip to main navigation

Publications

Displaying results 321 to 330 of 14521.

  1. Christoph H. Lampert; Jan Peters

    Active Structured Learning for High-Speed Object Detection

    In: Joachim Denzler; Gunther Notni; Herbert Süße (Hrsg.). Pattern Recognition, 31st DAGM Symposium, Proceedings. Annual Symposium of the German Association for Pattern Recognition (DAGM-2009), September 9-11, Jena, Germany, Pages 221-231, Lecture Notes in Computer Science, Vol. 5748, Springer, 2009.

  2. Jens Kober; Jan Peters

    Learning New Basic Movements for Robotics

    In: Rüdiger Dillmann; Jürgen Beyerer; Christoph Stiller; Johann Marius Zöllner; Tobias Gindele (Hrsg.). Autonome Mobile Systeme 2009 - 21. Fachgespräch. Autonome Mobile Systeme (AMS-2009), December 3-4, Karlsruhe, Germany, Pages 105-112, Informatik Aktuell, Springer, 2009.

  3. Katharina Mülling; Jan Peters

    A Computational Model of Human Table Tennis for Robot Application

    In: Rüdiger Dillmann; Jürgen Beyerer; Christoph Stiller; Johann Marius Zöllner; Tobias Gindele (Hrsg.). Autonome Mobile Systeme 2009 - 21. Fachgespräch. Autonome Mobile Systeme (AMS-2009), December 3-4, Karlsruhe, Germany, Pages 57-64, Informatik Aktuell, Springer, 2009.

  4. Jan Peters; Jens Kober

    Using reward-weighted imitation for robot Reinforcement Learning

    In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009) Proceedings. IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL-2009), March 30 - April 2, Nashville, TN, USA, Pages 226-232, IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2761-1, IEEE, 2009.

  5. Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters

    Efficient data reuse in value function approximation

    In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009) Proceedings. IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL-2009), March 30 - April 2, Nashville, TN, USA, Pages 8-15, IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2761-1, IEEE, 2009.

  6. Nils Feldhus; Qianli Wang; Tatiana Anikina; Sahil Chopra; Cennet Oguz; Sebastian Möller

    InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations

    In: Houda Bouamor; Juan Pino; Kalika Bali (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2023. Conference on Empirical Methods in Natural Language Processing (EMNLP-2023), December 6-10, Singapore, Singapore, Association for Computational Linguistics, 12/2023.

  7. Mehmed Yüksel

    An expert knowledge representation based on real world experiences in proof-of-concept robot system design

    PhD-Thesis, Universität Bremen - Fachbereich 03: Mathematik/Informatik (FB 03), Staats- und Universitätsbibliothek Bremen, Bremen, Germany, 6/2023.

  8. Jason Raphael Rambach; Bruno Mirbach; Yuriy Anisimov; Didier Stricker

    Time-of-Flight Depth Sensing for Automotive Safety and Smart Building Applications: The VIZTA Project

    In: IEEE Access (IEEE), Vol. 11, Pages 105819-105829, IEEE, 10/2023.

  9. Berit Blanc; Insa Reichow; Benjamin Paaßen

    Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen

    In: 21. Fachtagung Bildungstechnologien (DELFI) - Proceedings. Fachtagung Bildungstechnologien (DELFI-2023), September 11-13, Aachen, Germany, Pages 293-294, GI-Edition: Lecture Notes in Informatics (LNI), Vol. P338, ISBN 978-3-88579-732-6, Gesellschaft für Informatik e.V. Bonn, 2023.

  10. Tobias Baumgartner; Benjamin Paaßen; Stefanie Klatt

    Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation

    In: nature scientific reports (Sci Rep), Vol. 13, No. 14031, Pages 1-11, Springer nature, 2023.

Year

More options