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142
Voted
CORR
2008
Springer
15 years 5 months ago
2008
Springer
In this paper we present an algorithmic framework for solving a class of combinatorial optimization problems on graphs with bounded pathwidth. The problems are NP-hard in general, ...
142
Voted
LION
2007
Springer
15 years 11 months ago
2007
Springer
The problem of finding the broadcast scheme with minimum power consumption in a wireless ad-hoc network is NP-hard. This work presents a new hybrid algorithm to solve this problem...
115
Voted
WSC
1998
15 years 6 months ago
1998
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
151
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CN
2002
15 years 4 months ago
2002
Abstract-The delivery of large files to single users, such as application programs for some versions of the envisioned network computer, or movies, is expected by many to be one of...
154
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ICASSP
2009
IEEE
2009
IEEE
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
15 years 11 months ago
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...