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» Approaching Optimality for Solving SDD Linear Systems
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TIT
2010
174views Education» more  TIT 2010»
14 years 6 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
CGF
2000
96views more  CGF 2000»
14 years 11 months ago
An interactive approach to point cloud triangulation
We present an interactive system for the generation of high quality triangle meshes that allows us to handle hybrid geometry (point clouds, polygons, ...) as input data. In order ...
Leif Kobbelt, Mario Botsch
TMI
2011
127views more  TMI 2011»
14 years 6 months ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...
ICRA
2007
IEEE
138views Robotics» more  ICRA 2007»
15 years 6 months ago
Managing non-determinism in symbolic robot motion planning and control
Abstract— We study the problem of designing control strategies for nondeterministic transitions systems enforcing the satisfaction of Linear Temporal Logic (LTL) formulas over th...
Marius Kloetzer, Calin Belta
EOR
2006
88views more  EOR 2006»
14 years 12 months ago
Nonessential objectives within network approaches for MCDM
In Gal and Hanne [Eur. J. Oper. Res. 119 (1999) 373] the problem of using several methods to solve a multiple criteria decision making (MCDM) problem with linear objective functio...
Tomas Gal, Thomas Hanne