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Publikationen

Zeige Ergebnisse 5041 bis 5050 von 14712.

  1. Mikko Lauri; Joni Pajarinen; Jan Peters

    Information Gathering in Decentralized POMDPs by Policy Graph Improvement

    In: Edith Elkind; Manuela Veloso; Noa Agmon; Matthew E. Taylor (Hrsg.). AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19), May 13-17, Montreal, QC, Canada, Pages 1143-1151, ISBN 978-1-4503-6309-9, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 2019.

  2. Eman Eman; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Cursive Script Textline Image Transformation for Improving OCR Accuracy

    In: 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). International Conference on Document Analysis and Recognition Workshops (ICDARW-2019), September 22-25, Sydney, Australia, Pages 59-64, Vol. 5, ISBN 978-1-7281-5055-0, IEEE, 9/2019.

  3. Mohammad Mohsin Reza; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Table Localization and Segmentation using GAN and CNN

    In: 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). International Conference on Document Analysis and Recognition Workshops (ICDARW-2019), September 22-25, Sydney, Australia, Pages 152-157, Vol. 5, ISBN 978-1-7281-5055-0, Association for Computing Machinery, 9/2019.

  4. Shoya Ishimaru; Takanori Maruichi; Manuel Landsmann; Koichi Kise; Andreas Dengel

    Electrooculography Dataset for Reading Detection in the Wild

    In: UbiComp 2019. ACM International Symposium on Wearable Computers (ISWC), London, United Kingdom, Pages 85-88, ISBN 978-1-4503-6869-8, Association for Computing Machinery, 9/2019.

  5. Menbere Kina Tekleyohannes; Vladimir Rybalkin; Muhammad Mohsin Ghaffar; Norbert Wehn; Andreas Dengel

    iDocChip - A Configurable Hardware Architecture for Historical Document Image Processing: Text Line Extraction

    In: 2019 International Conference on ReConFigurable Computing and FPGAs (ReConFig). International Conference on Reconfigurable Computing and FPGAs (ReConFig-2019), December 9-11, Cancun, Mexico, ISBN 978-1-7281-1957-1, IEEE, 12/2019.

  6. Kumar Shridhar; Joonho Lee; Hideaki Hayashi; Purvanshi Mehta; Brian Kenji Iwana; Seokjun Kang; Seiichi Uchida; Sheraz Ahmed; Andreas Dengel

    ProbAct: A Probabilistic Activation Functionfor Deep Neural Networks

    In: OPT2020: 12th Annual Workshop on Optimization for Machine Learning. Workshop on Optimization for Machine Learning (OPT-2020), located at NeurIPS2020, December 11-12, Vancouver, Canada, ArXiv, 2019.

  7. Andreas Dengel

    Some Shades of Grey!: Interpretability and Explainability of Deep Neural Networks

    In: Proceedings WCRML19. ACM Workshop on Crossmodal Learning and Application, Ottawa, Canada, ISBN 978-1-4503-6780-6, Association for Computing Machinery, New York, 6/2019.

  8. Andreas Dengel; Richard Socher; Elsa Andrea Kirchner; Shirley Ogolla

    Künstliche Intelligenz: Die Zukunft von Mensch und Maschine

    ZEIT Akademie, 2019.

  9. Marcel Kolbe; Pascal Reuß; Jakob Michael Schönborn; Klaus-Dieter Althoff

    Conceptualization and Implementation of a Reinforcement Learning Approach Using a Case-Based Reasoning Agent in a FPS Scenario

    In: Robert Jäschke; Matthias Weidlich (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2019), September 30 - October 2, Berlin, Germany, Pages 280-291, CEUR, 2019.

  10. Viktor Eisenstadt; Klaus-Dieter Althoff

    Overview of the 4R CBR Cycle Modifications (Extended Version)

    In: Robert Jäschke; Matthias Weidlich (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2019), Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", September 30 - October 2, Berlin, Germany, Pages 230-240, CEUR, 2019.

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