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References

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N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2:285-318, 1988.

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H. Murase and S. K. Nayar. Visual learning and recognition of 3-d objects from appearance. International Journal of Computer Vision, 14:5-24, 1995.

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S. K. Nayar, S. A. Nene, and H. Murase. Real-time 100 object recognition system. In Proceedings of IEEE International Conference on Robotics and Automation, 1996.

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T. Poggio and S. Edelman. A network that learns to recognize 3d objects. Nature, 343:263-266, 1990.

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M. Pontil and A. Verri. Support vector machines for 3d object recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(6):637-646, 1998.

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D. Roobaert and M. V. Hulle. View-based 3d object recognition with support vector machines. In IEEE International Workshop on Neural Networks for Signal Processing, 1999.

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B. Schölkopf. Support Vector Learning. PhD thesis, Informatik der Technischen Universitat Berlin, 1997.

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M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71-86, 1991.

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M.-H. Yang, D. Roth, and N. Ahuja. Learning to recognize 3D objects with snow. In Proceedings of the Sixth European Conference on Computer Vision, volume 1, pages 439-454, 2000.


Bob Fisher
Wednesday March 14 14:53:24 GMT 2001