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JC
2007
119views more  JC 2007»
14 years 11 months ago
Deterministic constructions of compressed sensing matrices
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
Ronald A. DeVore
TSP
2008
124views more  TSP 2008»
14 years 11 months ago
Dictionary Preconditioning for Greedy Algorithms
This article introduces the concept of sensing dictionaries. It presents an alteration of greedy algorithms like thresholding or (Orthogonal) Matching Pursuit which improves their...
Karin Schnass, Pierre Vandergheynst
IJCV
2002
141views more  IJCV 2002»
14 years 11 months ago
Spatio-Temporal Stereo Using Multi-Resolution Subdivision Surfaces
We present a method to automatically extract spatio-temporal descriptions of moving objects from synchronized and calibrated multi-view sequences. The object is modeled by a time-...
Jan Neumann, Yiannis Aloimonos
TIT
2002
81views more  TIT 2002»
14 years 11 months ago
On sampling in shift invariant spaces
Abstract-- In this paper, a necessary and sufficient condition for sampling in the general framework of shift invariant spaces is derived. Then this result is applied respectively ...
Wen Chen, S. Itoh, J. Shiki
SIGPRO
2010
154views more  SIGPRO 2010»
14 years 10 months ago
UPRE method for total variation parameter selection
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
Youzuo Lin, Brendt Wohlberg, Hongbin Guo