25 search results - page 3 / 5 » Nonparametric prior for adaptive sparsity |
VLSM
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
ECAI
2010
Springer
13 years 6 months ago
2010
Springer
In classical revealed preference analysis we are given a sequence of linear prices (i.e., additive over goods) and an agent's demand at each of the prices. The problem is to d...
SCALESPACE
2007
Springer
13 years 12 months ago
2007
Springer
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
TIP
2008
13 years 4 months ago
2008
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
SIAMIS
2010
13 years 15 days ago
2010
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...