5 search results - page 1 / 1 » Spatially Adaptive Estimation via Fitted Local Likelihood Te... |
TSP
2008
13 years 4 months ago
2008
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
WSCG
2004
13 years 6 months ago
2004
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
BC
2004
13 years 4 months ago
2004
Abstract. This study aims to recover transient, trialvarying evoked potentials (EPs), in particular the movement-related potentials (MRPs), embedded within the background cerebral ...
TSP
2010
12 years 11 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....