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Thomas Käster: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Christian Bauckhage, Thomas Käster, John K. Tsotsos
    Applying Ensembles of Multilinear Classifiers in the Frequency Domain. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:95-102 [Conf]
  2. Thomas Käster, Volker Wendt, Gerhard Sagerer
    Comparing Clustering Methods for Database Categorization in Image Retrieval. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:228-235 [Conf]
  3. Christian Bauckhage, Thomas Käster, Andrei M. Rotenstein
    Fast Learning for Customizable Head Pose Recognition in Robotic Wheelchair Control. [Citation Graph (0, 0)][DBLP]
    FG, 2006, pp:311-316 [Conf]
  4. Tanja Kämpfe, Thomas Käster, Michael Pfeiffer, Helge Ritter, Gerhard Sagerer
    INDI - intelligent database navigation by interactive and intuitive content-based image retrieval. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:921-924 [Conf]
  5. Thomas Käster, Michael Pfeiffer, Christian Bauckhage
    Combining speech and haptics for intuitive and efficient navigation through image databases. [Citation Graph (0, 0)][DBLP]
    ICMI, 2003, pp:180-187 [Conf]
  6. Christian Bauckhage, Thomas Käster
    Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2006, pp:507-510 [Conf]
  7. Christian Bauckhage, Thomas Käster
    Benefits of Separable, Multilinear Discriminant Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:1240-1243 [Conf]
  8. Christian Bauckhage, Thomas Käster
    Benefits of Separable, Multilinear Discriminant Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2006, pp:959- [Conf]
  9. Thomas Käster, Michael Pfeiffer, Christian Bauckhage, Gerhard Sagerer
    Intelligent Navigation in Image Databases. [Citation Graph (0, 0)][DBLP]
    KI, 2004, v:18, n:4, pp:24-0 [Journal]

  10. Usability Evaluation for Image Retrieval Beyond Desktop Applications. [Citation Graph (, )][DBLP]


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