41 search results - page 1 / 9 » Distributed processing in frames for sparse approximation |
CISS
2008
IEEE
13 years 11 months ago
2008
IEEE
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
A new method is introduced that makes use of sparse image representations to search for approximate nearest neighbors (ANN) under the normalized inner-product distance. The approa...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by foreground objects. We...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...