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Results: 295
Number of items: 295
  • Open Access
    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).
  • 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
  • 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).
  • Bunschoten, R., & Kröse, B. J. A. (2003). Robust Scene Reconstruction from an Omnidirectional Vision System. IEEE Transactions on Robotics and Automation, 19(2), 351-357. https://doi.org/10.1109/TRA.2003.808850
  • Verbeek, J. J., Vlassis, N., & Kröse, B. J. A. (2003). Efficient Greedy Learning of Gaussian Mixture Models. Neural Computation, 15(2), 469-485. https://doi.org/10.1162/089976603762553004
  • Portegies Zwart, J., Kröse, B. J. A., & Gelsema, S. (2003). Aircraft Classification from Estimated Models of Radar Scattering. (IAS-UVA-03; No. 02). Informatics Institute.
  • Porta Pleite, J. M., Verbeek, J. J., & Kröse, B. J. A. (2003). Enhancing Appearance-based Robot Localization Using Sparse Disparity Maps. In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 980-985).
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