188 search results - page 22 / 38 » Estimation error bounds for denoising by sparse approximatio... |
ICML
2004
IEEE
16 years 17 days ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
JSCIC
2010
14 years 6 months ago
2010
A new way of devising numerical methods is introduced whose distinctive feature is the computation of a finite element approximation only in a polyhedral subdomain D of the origina...
ISAAC
2005
Springer
15 years 5 months ago
2005
Springer
A graph G is δ-hyperbolic if for any four vertices u, v, x, y of G the two larger of the three distance sums dG(u, v) + dG(x, y), dG(u, x) + dG(v, y), dG(u, y) + dG(v, x) differ b...
SIAMNUM
2010
14 years 6 months ago
2010
Abstract. A variational problem characterizing the density estimator defined by the maximum a posteriori method with Gaussian process priors is derived. It is shown that this probl...