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Results: 295
Number of items: 295
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    Verbeek, J. J. (2004). Mixture Models for Clustering and Dimension Reduction. [Thesis, fully internal, Universiteit van Amsterdam].
  • Porta Pleite, J. M., Terwijn, B., & Kröse, B. J. A. (2003). Efficient Entropy-Based Action Selection for Appearance-Based Robot Localization. In Proceedings of the International Conference on Robotics and Automation ICRA'03 (pp. 2842-2847).
  • ten Hagen, S. H. G., & Kröse, B. J. A. (2003). Learning to navigate using a lazy map. In A. T. de Almeida, & U. Nunes (Eds.), Proceedings of the 11th International Conference on Advanced Robotics, ICAR'03 (pp. 299-304).
  • Bunschoten, R., & Kröse, B. J. A. (2003). Visual odometry from an omnidirectional vision system. In Proceedings of the International Conference on Robotics and Automation ICRA '03 (pp. 577-583).
  • ten Hagen, S. H. G., & Kröse, B. J. A. (2003). Neural (Q)-learning. Neural Computation, 12(2), 81-88.
  • Zajdel, W., & Kröse, B. (2003). Approximate Learning and Inference for Tracking with Non-overlapping Cameras. In M. H. Hamza (Ed.), Proceedings of the Third IASTED International Conference on Artificial Intelligence and Applications: September 8-10, 2003, Benalmádena, Spain ACTA Press. http://www.actapress.com/Abstract.aspx?paperId=14975
  • Zajdel, W. P., & Kröse, B. J. A. (2003). Gaussian Mixture Model for Multi-sensor Tracking. In Proceedings of the 15th Dutch-Belgian Artificial Intelligence Conference, BNAIC'03
  • Verbeek, J. J., Vlassis, N., & Kröse, B. J. A. (2003). Self-Organization by Optimizing Free-Energy. In M. Verleysen (Ed.), Proceedings of European Symposium on Artificial Neural Networks D-side.
  • Verbeek, J. J., Vlassis, N., & Kröse, B. J. A. (2003). Non-linear feature extaction by the coordination of mixture models. In Proc. 8th Ann. Conf. of the Advanced School for Computing and Imaging (ASCI)
  • Kröse, B. J. A., Porta Pleite, J. M., Crucq, K., Breemen, A. J. N., Nuttin, M., & Demeester, E. (2003). Lino, the user-interface robot. In Proceedings of the First European Symposium on Ambience Intelligence (EUSAI)
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