5 search results - page 1 / 1 » Dual constrained TV-based regularization |
JMLR
2012
11 years 6 months ago
2012
We develop scalable algorithms for regular and non-negative matrix completion. In particular, we base the methods on trace-norm regularization that induces a low rank predicted ma...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper describes a new approximate maximum-likelihood (ML) MIMO detection approach by studying a Lagrangian dual relaxation (LDR) of ML. Unlike many existing relaxed ML method...
CAIP
2009
Springer
13 years 9 months ago
2009
Springer
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Based on scaling laws describing the statistical structure
of turbulent motion across scales, we propose a multiscale
and non-parametric regularizer for optic-flow estimation.
R...