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SENSORWEBS PROJECT
> publications
This is a sampling of the related research papers.
Systems:
- L. Doherty, Algorithms for Position and Data
Recovery in Wireless Sensor Networks, UC Berkeley EECS Masters
Report, May 2000 [pdf]
Distributed Source Coding:
- S.Sandeep Pradhan and Kannan Ramchandran, Distributed
source coding using syndromes (DISCUS): Design and construction,
Proc. IEEE Data Compression Conference (DCC), 1999 [ps]
- S.Sandeep Pradhan and Kannan Ramchandran, Distributed
source coding: Symmetric rates and applications to sensor networks,
Proc. IEEE Data Compression conference (DCC), March 2000 [ps]
- J. Kusuma, L. Doherty and Kannan Ramchandran,
Distributed source coding for sensor networks,
Proc. IEEE Conf. on Image Processing (ICIP), October 2001 [ps]
Artificial Intelligence and Learning Theory:
- A. Y. Ng, and M. I. Jordan, Approximate inference algorithms for two-layer Bayesian
networks, Advances in Neural Information Processing Systems 11. Cambridge
MA: MIT Press [ps]
- L. K. Saul, and M. I. Jordan, Attractor dynamics for feedforward neural
networks, Neural Computation, 12, 1313-1335, 2000 [ps]
- T. S. Jaakkola, and M. I. Jordan, Bayesian parameter estimation via variational
methods, Statistics and Computing, 10, 25-37, 2000 [ps]
- T. S. Jaakkola, and M. I. Jordan, Variational
probabilistic inference and the QMR-DT network, Journal of Artificial Intelligence Research, 10, 291-322,
1999 [ps]
- M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K.
Saul, An introduction to variational methods for graphical models,
Machine Learning, 37, 183-233, 1999 [ps]
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