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» Parameter approximate dynamic optimization for PSO systems
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CVPR
1999
IEEE
15 years 11 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
15 years 4 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
PUK
2000
14 years 11 months ago
Dynamic Scheduling of Progressive Processing Plans
Progressive processing plans allow systems to tradeoff computational resources against the quality of service by specifying alternative ways in which to accomplish each step. When ...
Shlomo Zilberstein, Abdel-Illah Mouaddib, Andrew A...
VTC
2007
IEEE
130views Communications» more  VTC 2007»
15 years 4 months ago
Automated Up- and Downlink Capacity Balancing in WCDMA Networks
— Dynamic optimization of UMTS systems has been gaining a growing interest by the research community. In this context, the current paper concentrates on dynamic automated tuning ...
Mario García-Lozano, Oriol Sallent, Jordi P...
PPSN
1992
Springer
15 years 1 months ago
Hyperplane Annealing and Activator-Inhibitor-Systems
This paper introduces a new optimization technique called hyperplane annealing. It is similar to the mean field annealing approach to combinatorial optimization. Both annealing te...
Thomas Laußermair