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NIPS
1996
14 years 11 months ago
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Jeff G. Schneider
ISPAN
1999
IEEE
15 years 2 months ago
Using Stochastic Intervals to Predict Application Behavior on Contended Resources
Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...
Jennifer M. Schopf, Francine Berman
DAC
1998
ACM
15 years 10 months ago
Policy Optimization for Dynamic Power Management
Dynamic power management schemes (also called policies) can be used to control the power consumption levels of electronic systems, by setting their components in different states,...
Giuseppe A. Paleologo, Luca Benini, Alessandro Bog...
ICIP
2006
IEEE
15 years 11 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ICARCV
2008
IEEE
151views Robotics» more  ICARCV 2008»
15 years 4 months ago
Model-Based Networked Control System stability based on packet drop distributions
Abstract—This paper studies the system stability of a ModelBased Networked Control System in the cases where packet losses follow a certain distributions. In this study, the unre...
Lanzhi Teng, Peng Wen, Wei Xiang