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» Minimization and Partitioning Method Reducing Input Sets
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ICASSP
2008
IEEE
15 years 8 months ago
Blind optimization of algorithm parameters for signal denoising by Monte-Carlo SURE
We consider the problem of optimizing the parameters of an arbitrary denoising algorithm by minimizing Stein’s Unbiased Risk Estimate (SURE) which provides a means of assessing ...
Sathish Ramani, Thierry Blu, Michael Unser
SSD
2005
Springer
98views Database» more  SSD 2005»
15 years 7 months ago
Medoid Queries in Large Spatial Databases
Assume that a franchise plans to open k branches in a city, so that the average distance from each residential block to the closest branch is minimized. This is an instance of the ...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...
CORR
2010
Springer
220views Education» more  CORR 2010»
15 years 1 months ago
Multichannel Sampling of Pulse Streams at the Rate of Innovation
We consider minimal-rate sampling schemes for streams of delayed and weighted versions of a known pulse shape. Such signals belong to the class of finite rate of innovation (FRI) m...
Kfir Gedalyahu, Ronen Tur, Yonina C. Eldar
CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
14 years 8 months ago
Advances in moving horizon estimation for nonlinear systems
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
125
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IROS
2009
IEEE
214views Robotics» more  IROS 2009»
15 years 8 months ago
1-point RANSAC for EKF-based Structure from Motion
Abstract— Recently, classical pairwise Structure From Motion (SfM) techniques have been combined with non-linear global optimization (Bundle Adjustment, BA) over a sliding window...
Javier Civera, Oscar G. Grasa, Andrew J. Davison, ...