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ICASSP
2009
IEEE
15 years 9 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
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 ...
Ondrej Hlinka, Franz Hlawatsch
PODC
1997
ACM
15 years 6 months ago
Collecting Distributed Garbage Cycles by Back Tracing
Systems that store objects at a large number of sites require fault-tolerant and timely garbage collection. A popular technique is to trace each site independently using inter-sit...
Umesh Maheshwari, Barbara Liskov
JKM
2006
135views more  JKM 2006»
15 years 2 months ago
Learning from the Mars Rover Mission: scientific discovery, learning and memory
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...
Charlotte Linde
136
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ECAI
2008
Springer
15 years 4 months ago
Dynamic Backtracking for Distributed Constraint Optimization
We propose a new algorithm for solving Distributed Constraint Optimization Problems (DCOPs). Our algorithm, called DyBop, is based on branch and bound search with dynamic ordering ...
Redouane Ezzahir, Christian Bessiere, Imade Benela...
DRR
2009
15 years 8 days ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird