71 search results - page 9 / 15 » Sparse Signal Recovery Using Markov Random Fields |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We consider the task of creating a 3-d model of a large novel environment, given only a small number of images of the scene. This is a difficult problem, because if the images are...
WACV
2002
IEEE
14 years 16 days ago
2002
IEEE
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
ICIP
2008
IEEE
14 years 2 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...