Michael Fink

Michael Fink’s work bridges media research, machine learning and cognitive science. Michael initiated the YouTube interactive video annotations project, which became a major driving force in making YouTube videos truly interactive. Previously, Michael worked at Google Research, focusing on image and audio fingerprinting for applications such as the “mass personalization” of broadcast television. His PhD research at the Hebrew University of Jerusalem focuses on large scale object recognition in humans and machines, generating publications ranging from machine learning, computer vision and artificial intelligence to cognitive science, justice and economics. In the last few years, Michael has initiated the Computer Science and Design program in a joint collaboration with The Hebrew University of Jerusalem and the Bezalel Design Academy.

Google Publications

Previous Publications

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    KMonitor - A Tool for Monitoring Plan Execution in Action Theories

    Thomas Eiter, Michael Fink, Ján Sen

    LPNMR (2005), pp. 416-421

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    Updating Action Domain Descriptions

    Thomas Eiter, Esra Erdem, Michael Fink, Ján Sen

    IJCAI (2005), pp. 418-423

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    Monitoring Agents Using Declarative Planning

    Jürgen Dix, Thomas Eiter, Michael Fink, Axel Polleres, Yingqian Zhang

    KI (2003), pp. 646-660

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    Monitoring Agents using Declarative Planning

    Jürgen Dix, Thomas Eiter, Michael Fink, Axel Polleres, Yingqian Zhang

    Fundam. Inform., vol. 57 (2003), pp. 345-370

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    Mutual Boosting for Contextual Inference

    Michael Fink, Pietro Perona

    NIPS (2003)