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Results: 295
Number of items: 295
  • Groen, F. C. A., Dev, A., & Kröse, B. J. A. (1995). Learning Multi Valued Mappings with Auto Associative Neural Networks: Structure from motion. In IAS-4
  • Groen, F. C. A., Dev, A., & Kröse, B. J. A. (1995). Learning Structure from Motion: How to represent Two-Valued Functions. In S. Gielen, & B. Kappen (Eds.), Neural Networks : Artificial intelligence and industrial applications (pp. 144-150). Springer Verlag.
  • Dev, A., Kröse, B. J. A., & Groen, F. C. A. (1995). Recovering Patch Parameters from The Optic Flow using Auto Associative Neural Networks. In Proceedings of the 1995 International Conference on Intelligent Autonomous Systems (pp. 213-216)
  • Groen, F. C. A., van Dam, J. W. M., & Kröse, B. J. A. (1995). Neural network applications in sensor fusion for an autonomous mobile robot. In L. Dorst, F. Voorbraak, & M. van Lambalgen (Eds.), Proc. of Int. Workshop Reasoning with Uncertainty in Robotics (pp. 1-19).
  • van der Smagt, P. P. P., Groen, F. C. A., & Kröse, B. J. A. (1995). A Monocular Robot Arm can be Neurally Positioned. In R. Dillmann, U. Rembold, L. O. Hertzberger, & T. Kanade (Eds.), Proceedings of the 1995 International Conference on Intelligent Autonomous Systems (pp. 123-130). IOS Press.
  • van der Smagt, P. P. P. (1995). Visual robot arm guidance using neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Kröse, B. J. A., & Eecen, M. (1994). A self-organizing representation of sensor space for mobile robot navigation. In Proceedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems (pp. 9-14). IEEE.
  • Dev, A., Kröse, B. J. A., Dorst, L., & Groen, F. C. A. (1994). Observer Curve and Object Detection from the Optic Flow. In D. P. Casasent (Ed.), Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision (pp. 38-50). (Proceedings of SPIE; Vol. 2354). SPIE. https://doi.org/10.1117/12.189117
  • Kröse, B. J. A., & Eecen, M. (1994). Self-learning maps for path planning in sensor space. In P. G. Morasso, & M. Marinaro (Eds.), ICANN'94, Proceedings of the International Conference on Artificial Neural Networks (pp. 1303-1306). Springer Verlag.
  • Schram, G., Karsten, L., Kröse, B. J. A., & Groen, F. C. A. (1994). Optimal Attitude Control of Satellites by Artificial Neural Networks: a Pilot Study. In A. Crespo (Ed.), Preprints of IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC94) (pp. 185-190). Universidad Politechnica de Valencia.
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