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» McPOWER: a Monte Carlo approach to power estimation
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PRL
2000
182views more  PRL 2000»
15 years 1 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
14 years 11 months ago
Improving indoor navigation of autonomous robots by an explicit representation of doors
— In the last decades, tremendous progress has been made in the field of autonomous indoor navigation for mobile robots. However, these approaches assume the structural part of ...
Matthias Nieuwenhuisen, Jörg Stückler, S...
ISBI
2006
IEEE
16 years 2 months ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
GLOBECOM
2007
IEEE
15 years 7 months ago
Capacity and Fairness of MIMO Broadcast Algorithms in Shadow Fading Environments
Abstract— For MIMO broadcast systems the effects of shadowing on the channel capacity and the fairness of the system in sharing the resources amongst multiple users are important...
Timothy W. King, Peter J. Smith, Lee M. Garth
NCA
2006
IEEE
15 years 1 months ago
Open-loop regulation and tracking control based on a genealogical decision tree
The goal of this paper is to design a new control algorithm for open-loop control of complex systems. This control approach is based on a genealogical decision tree for both regula...
Kaddour Najim, Enso Ikonen, P. Del Moral