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» On an Optimization Problem in Sensor Selection*
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DAGM
2006
Springer
15 years 1 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
TSP
2008
118views more  TSP 2008»
14 years 9 months ago
Channel-Aware Random Access Control for Distributed Estimation in Sensor Networks
A cross-layered slotted ALOHA protocol is proposed and analyzed for distributed estimation in sensor networks. Suppose that the sensors in the network record local measurements of ...
Y.-W. P. Hong, Keng-U Lei, Chong-Yung Chi
GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
15 years 3 months ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz
ICIP
2005
IEEE
15 years 3 months ago
Natural contrast statistics and the selection of visual fixations
In this paper we address the problem of visual surveillance, which we define as the problem of optimally extracting information from the visual scene with a fixating, foveated ima...
Raghu G. Raj, Wilson S. Geisler, Robert A. Frazor,...
KES
2000
Springer
15 years 1 months ago
Knowledge based genetic algorithm for dynamic route selection
This paper addresses the problem of selecting route to a given destination on a load map under a dynamic environment. The proposed solution is using a genetic algorithm adopting v...
Hitoshi Kanoh, Tomohiro Nakamura