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Year: 2019
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Displaying results 61 to 70 of 576.

  1. 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.

  2. 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.

  3. 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.

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    iDocChip - A Configurable Hardware Architecture for Historical Document Image Processing: Text Line Extraction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

  5. 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.

  6. 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.

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

    Künstliche Intelligenz: Die Zukunft von Mensch und Maschine

    ZEIT Akademie, 2019.

  8. Ralph Bergmann; Mirko Lenz; Stefan Ollinger; Maximilian Pfister

    Similarity Measures for Case-Based Retrieval of Natural Language Argument Graphs in Argumentation Machines

    In: Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference. International FLAIRS Conference (FLAIRS-2019), Sarasota, Florida, USA, Pages 329-334, AAAI Press, 2019.

  9. Mirko Lenz; Stefan Ollinger; Premtim Sahitaj; Ralph Bergmann

    Semantic Textual Similarity Measures for Case-Based Retrieval of Argument Graphs

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2019), Otzenhausen, Germany, Pages 219-234, Lecture Notes in Computer Science (LNCS), Vol. 11680, ISBN 978-3-030-29249-2, Springer International Publishing, Cham, 2019.

  10. Stefan Fischer; Martin Leucker; Christoph Lüth; Thomas Martinetz; Raimund Mildner; Dirk Nowotka; Frank Steinicke

    KI-SIGS: Artificial Intelligence for the Northern German Health Ecosystem

    In: Digitale Welt, Vol. 4, Pages 49-54, Springer Verlag, 12/2019.

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