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Results: 295
Number of items: 295
  • Verbeek, J. J., Vlassis, N., & Kröse, B. J. A. (2002). A k-segments algorithm for finding principal curves. Pattern Recognition Letters, 23(8), 1009-1017. https://doi.org/10.1016/S0167-8655(02)00032-6
  • Vlassis, N., Motomura, Y., & Kröse, B. J. A. (2002). Supervised Dimension Reduction of Intrinsically Low-dimensional Data. Neural Computation, 14(1), 191-215. https://doi.org/10.1162/089976602753284491
  • Bunschoten, R., & Kröse, B. J. A. (2001). 3-d scene reconstruction from multiple panoramic images. In Proceedings of the 7th annual conference of the Advanced School for Computing and Imaging (ASCI 2001) (pp. 49-54). Heijen.
  • Kröse, B. J. A., Vlassis, N., Bunschoten, R., & Motomura, Y. (2001). A probabilistic model for appearance-based robot localization. Image and Vision Computing, 19(6), 381-391. https://doi.org/10.1016/S0262-8856(00)00086-X
  • Asoh, H., Vlassis, N., Motomura, Y., Asano, F., Hara, H., Hayamizu, S., Itou, K., Kurita, T., Matsui, T., Bunschoten, R., & Kröse, B. J. A. (2001). Jijo-2: An office robot that communicates and learns. IEEE Intelligent Systems, 16(5), 46-55. https://doi.org/10.1109/5254.956081
  • Groen, F. C. A., van der Hoek, W., Jonker, P., Kröse, B. J. A., Spoelder, H., & Stramigioli, S. (2001). Robocup european championship: Report on the Amsterdam 2000 event. Robotics and Autonomous Systems, 36(2-3), 59-66. https://doi.org/10.1016/S0921-8890(01)00135-X
  • Bunschoten, R., & Kröse, B. J. A. (2001). 3-d scene reconstruction from cylindrical panoramic images. In Proceedings of the 9th International Symposium on Intelligent Robotic Systems (SIRS' 2001) (pp. 199-205). LAAS-CNRS.
  • Kröse, B. J. A., de Rijke, M., Schreiber, G., & van Someren, M. W. (Eds.) (2001). Proceedings BNAIC'01. Unknown Publisher.
  • Vlassis, N., Bunschoten, R., & Kröse, B. J. A. (2001). Learning task-relevant features from robot data. In Proceedings IEEE International Conference on Robotics and Automation (pp. 499-504).
  • Bunschoten, R., & Kröse, B. J. A. (2001). Range estimation form a pair of omnidirectional images. In Proceedings IEEE International Conference on Robotics and Automation (pp. 1174-1179).
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