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» Optimizing dynamic dispatch with fine-grained state tracking
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ICASSP
2009
IEEE
14 years 23 days 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
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
13 years 6 months ago
Efficient waypoint tracking hybrid controllers for double integrators using classical time optimal control
This paper is a response to requests from several respected colleagues in academia for a careful writeup of the classical time-optimal control based hybrid controllers that we have...
Haitham A. Hindi, Lara S. Crawford, Rong Zhou, Cra...
ECOOP
2000
Springer
13 years 10 months ago
Optimizing Java Programs in the Presence of Exceptions
The support for precise exceptions in Java, combined with frequent checks for runtime exceptions, leads to severe limitations on the compiler’s ability to perform program optimiz...
Manish Gupta, Jong-Deok Choi, Michael Hind
CVPR
2007
IEEE
14 years 8 months ago
A Linear Programming Approach for Multiple Object Tracking
We propose a linear programming relaxation scheme for the class of multiple object tracking problems where the inter-object interaction metric is convex and the intraobject term q...
Hao Jiang, Sidney Fels, James J. Little
INFOCOM
2011
IEEE
12 years 9 months ago
Optimal control of epidemic evolution
—Epidemic models based on nonlinear differential equations have been extensively applied in a variety of systems as diverse as infectious outbreaks, marketing, diffusion of belie...
M. H. R. Khouzani, Saswati Sarkar, Eitan Altman