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SASO
2009
IEEE
14 years 3 months ago
Optimising Sensor Layouts for Direct Measurement of Discrete Variables
An optimal sensor layout is attained when a limited number of sensors are placed in an area such that the cost of the placement is minimised while the value of the obtained inform...
X. Rosalind Wang, George Mathews, Don Price, Mikha...
BIBE
2008
IEEE
137views Bioinformatics» more  BIBE 2008»
14 years 3 months ago
A sparse variational Bayesian approach for fMRI data analysis
— The aim of this work is to propose a new approach for the determination of the design matrix in fMRI experiments. The design matrix embodies all available knowledge about exper...
Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimi...
ICC
2007
IEEE
186views Communications» more  ICC 2007»
14 years 3 months ago
A Spreading Code MAC Protocol for Multi-Hop Wireless Ad Hoc Networks
— We propose a spreading code medium access control (MAC) protocol with each node equipped with single transceiver for wireless ad hoc networks, based on the code division multip...
Hang Su, Xi Zhang
ICRA
2007
IEEE
171views Robotics» more  ICRA 2007»
14 years 3 months ago
Visual Servoing by Optimization of a 2D/3D Hybrid Objective Function
— In this paper, we present a new hybrid visual servoing algorithm for robot arm positioning task. Hybrid methods in visual servoing partially combine the 2D and 3D visual inform...
A. H. Abdul Hafez, C. V. Jawahar
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 3 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart