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6 Result(s)

within Ben Kröse Remove this filter Image Processing and Computer Vision Remove this filter

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  1. No Access

    Article

    RARE: people detection in crowded passages by range image reconstruction

    In this paper, we address the problem of people detection and tracking in crowded scenes using range cameras. We propose a new method for people detection and localisation based on the combination of backgroun...

    Tim van Oosterhout, Gwenn Englebienne, Ben Kröse in Machine Vision and Applications (2015)

  2. Article

    Open Access

    Relating conversational expressiveness to social presence and acceptance of an assistive social robot

    Exploring the relationship between social presence, conversational expressiveness, and robot acceptance, we set up an experiment with a robot in an eldercare institution, comparing a more and less social condi...

    Marcel Heerink, Ben Kröse, Vanessa Evers, Bob Wielinga in Virtual Reality (2010)

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  3. No Access

    Chapter

    People Detection Using Multiple Sensors on a Mobile Robot

    This chapter considers the important problem of dealing with multiple sensors. An approach for combining information from multiple sensors for people detection on a mobile robot is described. A person will be ...

    Zoran Zivkovic, Ben Kröse in Unifying Perspectives in Computational and Robot Vision (2008)

  4. No Access

    Article

    Neural Q-learning

    In this paper we introduce a novel neural reinforcement learning method. Unlike existing methods, our approach does not need a model of the system and can be trained directly using the measurements of the syst...

    Stephan ten Hagen, Ben Kröse in Neural Computing & Applications (2003)

  5. No Access

    Chapter and Conference Paper

    Coordinating Principal Component Analyzers

    Mixtures of Principal Component Analyzers can be used to model high dimensional data that lie on or near a low dimensional manifold. By linearly map** the PCA subspaces to one global low dimensional space, w...

    Jakob J. Verbeek, Nikos Vlassis, Ben Kröse in Artificial Neural Networks — ICANN 2002 (2002)

  6. No Access

    Chapter and Conference Paper

    A Soft k-Segments Algorithm for Principal Curves

    We propose a new method to find principal curves for data sets. The method repeats three steps until a stop** criterion is met. In the first step, k (unconnected) line segments are fitted on the data. The secon...

    Jakob J. Verbeek, Nikos Vlassis, Ben Kröse in Artificial Neural Networks — ICANN 2001 (2001)