1176 search results - page 109 / 236 » Sparse reward processes |
134
click to vote
ICIP
1999
IEEE
16 years 5 months ago
1999
IEEE
This paper presents a new method for integrating di erent low level vision modules, stereo and shape from shading, in order to improve the 3D reconstruction of visible surfaces of...
120
click to vote
CORR
2010
Springer
15 years 4 months ago
2010
Springer
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
137
click to vote
CISS
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
135
click to vote
NIPS
2008
15 years 5 months ago
2008
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
169
click to vote
ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
In this paper we propose a robust iterative hard thresolding (IHT) algorithm for reconstructing sparse signals in the presence of impulsive noise. To address this problem, we use ...