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» A Minimal Periods Algorithm with Applications
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143
Voted
DAC
2010
ACM
15 years 7 months ago
A probabilistic and energy-efficient scheduling approach for online application in real-time systems
This work considers the problem of minimizing the power consumption for real-time scheduling on processors with discrete operating modes. We provide a model for determining the ex...
Thorsten Zitterell, Christoph Scholl
142
Voted
EAAI
2006
123views more  EAAI 2006»
15 years 3 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
146
Voted
PAMI
2006
143views more  PAMI 2006»
15 years 3 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
162
Voted
TSMC
2002
107views more  TSMC 2002»
15 years 3 months ago
Guaranteed robust nonlinear estimation with application to robot localization
When reliable prior bounds on the acceptable errors between the data and corresponding model outputs are available, bounded-error estimation techniques make it possible to characte...
Luc Jaulin, Michel Kieffer, Eric Walter, Dominique...
115
Voted
IPPS
1998
IEEE
15 years 7 months ago
The Timewheel Group Membership Protocol
Abstract. We describe a group membership protocol, called the timewheel group membership protocol, for a timed asynchronous distributed system. This protocol is a part of the timew...
Shivakant Mishra, Christof Fetzer, Flaviu Cristian