REFERENCES
1. I. F. Akyildiz, W. Shin Su, Y. Sankarasubramaniam, and E. Cayirci. A survey on sensor networks. IEEE Commun. Mag., 19:102–114, 2002.
2. D. H. Ballard and C. M. Brown. Computer Vision. Prentice Hall, 1982.
3. R. Battiti and A. Colla. Democracy in neural nets: voting schemes for accuracy. Neural Networks, 7(4):691–707, 1994.
4. C. M. Bishop. Neural Networks for Pattern Recognition. Clarendon Press, Oxford, 1995.
5. Crossbow. Mica2 datasheet. [online]. (http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/MICA2_Datasheet.pdf), Last accessed 21 February 2008.
6. R. P. W. Duin and E. Pekalska. Structural inference of sensor-based measurements. In Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition (SSSPR '06), Vol. 4109. Springer Verlag, 2006, pp. 41–55.
7. D. A. Forsyth and J. Ponce. Computer Vision: A Modern Approach. Prentice Hall, 2002.
8. J. Gao, L. J. Guibas, J. Hershberger, and N. Milosavljevic. Sparse data aggregation in sensor networks. In 6th International Conference on Information Processing in Sensor Networks (ISPN'07), 2007, pp. 430–439.
9. S. Haykin. Neural Networks: A Comprehensive Foundation. Prentice Hall, 1998.
10. Z. Kamal, M. Salahuddin, A. Gupta, M. Terwilliger, V. Bhuse, and B. Beckmann. Analytical analysis of decision and data fusion in wireless sensor networks. In Proceedings of the 2004 International Conference on Embedded Systems and Applications (ESA04), 2004, pp. 263–272.
11. A. I. Khan. A peer-to-peer associative ...
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