Boundary Estimation in Sensor Networks: Theory and Methods-Reference-Cited by-同舟云学术

Boundary Estimation in Sensor Networks: Theory and Methods

Published:2003 Issue: Volume: Page:80-95
ISSN:0302-9743
Container-title:Information Processing in Sensor Networks
language:
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Author:

Nowak Robert,Mitra Urbashi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-36978-3_6

Reference10 articles.

1. L. Breiman, J. Friedman, R. Olshen, and C. J. Stone. Classification and Regression Trees. Wadsworth, Belmont, CA, 1983.

2. K. Chintalapudi and R. Govindan. Localized edge detection in sensor fields. University of Southern California, Computer Science Department, Technical Report, 02-773, 2002. available at http://www.cs.usc.edu/tech-reports/technical-reports.html .

3. D. Donoho. Wedgelets: Nearly minimax estimation of edges. Ann. Statist., 27:859–897, 1999.

4. D. Ganesan, D. Estrin, and J. Heideman. DIMENSIONS: Why do we need a new data handling architecture for sensor networks? In Proceedings of IEEE/ACM HotNets-I, Princeton, NJ, October 2002.

5. E. Kolaczyk and R. Nowak. Multiscale likelihood analysis and complexity penalized estimation. Annals of Statistics (tentatively accepted for publication). Also available at http://www.ece.rice.edu/~nowak/pubs.html , 2002.

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