112 search results - page 10 / 23 » On Sparsity and Overcompleteness in Image Models |
TMI
2008
13 years 7 months ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
ICANNGA
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
DCC
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
TSP
2010
13 years 2 months ago
2010
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...