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CVPR
2010
IEEE
15 years 2 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»
14 years 11 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
SODA
2012
ACM
225views Algorithms» more  SODA 2012»
13 years 7 months ago
Approximating rooted Steiner networks
The Directed Steiner Tree (DST) problem is a cornerstone problem in network design. We focus on the generalization of the problem with higher connectivity requirements. The proble...
Joseph Cheriyan, Bundit Laekhanukit, Guyslain Nave...
VTC
2008
IEEE
129views Communications» more  VTC 2008»
15 years 11 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
PPSN
2004
Springer
15 years 10 months 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