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» On Wiedemann's Method of Solving Sparse Linear Systems
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TROB
2010
129views more  TROB 2010»
13 years 7 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
ECCV
2010
Springer
14 years 2 months ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
SIAMSC
2008
167views more  SIAMSC 2008»
13 years 9 months ago
New Finite Elements for Large-Scale Simulation of Optical Waves
We present a new method to simulate optical waves in large geometries. This method is based on newly developed finite elements, so-called Trigonometric Finite Wave Elements (TFWEs)...
Britta Heubeck, Christoph Pflaum, Gunther Steinle
CDC
2009
IEEE
142views Control Systems» more  CDC 2009»
14 years 1 months ago
Optimized rate allocation for state feedback control over noisy channels
Abstract— Optimal rate allocation in a networked control system with highly limited communication resources is instrumental to achieve satisfactory overall performance. In this p...
Lei Bao, Mikael Skoglund, Carlo Fischione, Karl He...
ICIP
2004
IEEE
14 years 10 months ago
Fast motion estimation and motion segmentation using multi-scale approach
The goal of this work is to find a fast method for motion estimation and motion segmentation. We chose to decompose the motion on a basis functions. That allows us to compute the ...
Cédric Demonceaux, Djemâa Kachi-Akkou...