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» On the Power of the Randomized Iterate
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CP
2004
Springer
15 years 3 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
SCOPES
2004
Springer
15 years 3 months ago
Combined Data Partitioning and Loop Nest Splitting for Energy Consumption Minimization
For mobile embedded systems, the energy consumption is a limiting factor because of today’s battery capacities. Besides the processor, memory accesses consume a high amount of en...
Heiko Falk, Manish Verma
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 2 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
ESSMAC
2003
Springer
15 years 2 months ago
Joint Optimization of Wireless Communication and Networked Control Systems
Abstract. We consider a linear system, such as an estimator or a controller, in which several signals are transmitted over wireless communication channels. With the coding and medi...
Lin Xiao, Mikael Johansson, Haitham A. Hindi, Step...
ILP
2003
Springer
15 years 2 months ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain