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» An Efficient Method for Compressed Sensing
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ICCV
2009
IEEE
13 years 8 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
ICASSP
2011
IEEE
13 years 2 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
ICASSP
2011
IEEE
13 years 2 months ago
Basis Pursuit in sensor networks
Basis Pursuit (BP) finds a minimum ℓ1-norm vector z that satisfies the underdetermined linear system Mz = b, where the matrix M and vector b are given. Lately, BP has attracte...
João F. C. Mota, João M. F. Xavier, ...
CISS
2011
IEEE
13 years 2 months ago
Sparsity penalties in dynamical system estimation
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...
Adam Charles, Muhammad Salman Asif, Justin K. Romb...
ICIP
2007
IEEE
15 years 13 days ago
Rotation Detection using the Curl Equation
Rotational types of motion can often be seen in video sequences. However, not a lot of research has been done to investigate rotational motion models for use in video. Analysing t...
Daire Lennon, Naomi Harte, Anil C. Kokaram