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FOCM
2007
55views more  FOCM 2007»
15 years 6 months ago
On Location and Approximation of Clusters of Zeros: Case of Embedding Dimension One
Isolated multiple zeros or clusters of zeros of analytic maps with several variables are known to be difficult to locate and approximate. This article is in the vein of the α-theo...
Marc Giusti, Grégoire Lecerf, Bruno Salvy, ...
CVPR
2010
IEEE
15 years 4 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
CDC
2010
IEEE
146views Control Systems» more  CDC 2010»
15 years 1 months ago
Adaptive autonomous soaring of multiple UAVs using Simultaneous Perturbation Stochastic Approximation
Abstract-- This paper presents a new algorithm for maximizing the flight duration of a single UAV (Uninhabited Air Vehicle) and UAVs group using the thermal model developed by Alle...
Cathrine Antal, Oleg Granichin, Sergey Levi
VTC
2008
IEEE
129views Communications» more  VTC 2008»
16 years 1 months ago
A Stochastic Gradient LMS Algorithm for Digital Compensation of Tx Leakage in Zero-IF-Receivers
Abstract— In frequency division duplex transceivers the transmit signal is leaking through the duplexer into the receive branch. For the case of Zero-IF receivers the nonlinearit...
Andreas Frotzscher, Gerhard Fettweis
192
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PPSN
2004
Springer
16 years 1 days ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke