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KES
2006
Springer
15 years 3 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
FOCM
2007
94views more  FOCM 2007»
15 years 3 months ago
Trust-Region Methods on Riemannian Manifolds
A general scheme for trust-region methods on Riemannian manifolds is proposed and analyzed. Among the various approaches available to (approximately) solve the trust-region subpro...
Pierre-Antoine Absil, C. G. Baker, Kyle A. Galliva...
MP
2006
175views more  MP 2006»
15 years 3 months ago
Conditional Value-at-Risk in Stochastic Programs with Mixed-Integer Recourse
In classical two-stage stochastic programming the expected value of the total costs is minimized. Recently, mean-risk models - studied in mathematical finance for several decades -...
Rüdiger Schultz, Stephan Tiedemann
NC
2006
116views Neural Networks» more  NC 2006»
15 years 3 months ago
Automated Design and Programming of a Microfluidic DNA Computer
Previously, we described ways to implement the functions AND and OR in a DNA computer consisting of microreactors with attached heating elements that control annealing of DNA. Base...
Michael S. Livstone, Ron Weiss, Laura F. Landweber
PAMI
2006
126views more  PAMI 2006»
15 years 3 months ago
Estimation of Nonlinear Errors-in-Variables Models for Computer Vision Applications
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...
Bogdan Matei, Peter Meer