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Results: 295
Number of items: 295
  • Kröse, B. J. A., Vlassis, N., & Zajdel, W. P. (2004). Bayesian methods for tracking and localization. In Proceedings Philips Symposium On Intelligent Algorithms (SOIA) (pp. 27-38)
  • Zajdel, W. P., Cemgil, A. T., & Kröse, B. J. A. (2004). Online multicamera tracking with a switching state-space model. In Proceedings IEEE International Conference on Pattern Recognition (ICPR) (Vol. IV, pp. 339-343).
  • Zivkovic, Z., & Kröse, B. J. A. (2004). An EM-like algorithm for color-histogram-based object tracking. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition
  • Zivkovic, Z., & Kröse, B. J. A. (2004). A probabilistic model for an EM-like object tracking algorithm using color histograms. In Proceedings 6th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (in connection with ECCV2004)
  • Groen, F. C. A., Amato, N., Bonarini, A., Yoshida, E., & Kröse, B. J. A. (2004). Proceedings Intelligent Autonomous Systems 8. IOS Press.
  • Kröse, B. J. A., Bunschoten, R., ten Hagen, S. H. G., Terwijn, B., & Vlassis, N. (2004). Household robots look and learn. IEEE Robotics and Automation Magazine, 11(4), 45-52. https://doi.org/10.1109/MRA.2004.1371608
  • Porta Pleite, J. M., & Kröse, B. J. A. (2004). Appearance-based concurrent map building and localization. In F. C. A. Groen (Ed.), International Conference on Intelligent Autonomous Systems - IAS '04 (pp. 1022-1029). IOS Press.
  • Porta Pleite, J. M., & Kröse, B. J. A. (2004). Appearance-based concurrent map building and localization using a multi-hypotheses tracker. In F. C. A. Groen (Ed.), Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 3424-3429). IEEE Press.
  • ten Hagen, S. H. G., & Kröse, B. J. A. (2004). Learning to understand tasks for mobile robots. In W. Thissen, P. Wieringa, M. Pantic, & M. Ludema (Eds.), Proceedings IEEE International Conference on System, Man, and Cybernetics (pp. 2942-2947). Omnipress.
  • Terwijn, B., Porta Pleite, J. M., & Kröse, B. J. A. (2004). A particle filter to estimate non-Markovian states. In F. C. A. Groen (Ed.), International Conference on Intelligent Autonomous Systems - IAS'04 (pp. 1062-1069). IOS Press.
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