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GECCO
2004
Springer
14 years 3 months ago
A Step Size Preserving Directed Mutation Operator
Using a directed mutation can improve the efficiency of processing many optimization problems. The first mutation operators of this kind proposed by Hildebrand [1], however, suffer...
Stefan Berlik
IPSN
2004
Springer
14 years 3 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
ISCAS
2003
IEEE
201views Hardware» more  ISCAS 2003»
14 years 3 months ago
A regularized simultaneous autoregressive model for texture classification
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduc...
Yao-wei Wang, Yan-fei Wang, Wen Gao, Yong Xue
WSNA
2003
ACM
14 years 3 months ago
Parametric probabilistic sensor network routing
Motivated by realistic sensor network scenarios that have mis-informed nodes and variable network topologies, we propose a fundamentally different approach to routing that combine...
Christopher L. Barrett, Stephan Eidenbenz, Lukas K...
STOC
2010
ACM
261views Algorithms» more  STOC 2010»
14 years 2 months ago
An Improved LP-based Approximation for Steiner Tree
The Steiner tree problem is one of the most fundamental ÆÈ-hard problems: given a weighted undirected graph and a subset of terminal nodes, find a minimum weight tree spanning ...
Jaroslaw Byrka, Fabrizio Grandoni, Thomas Rothvoss...