25 search results - page 3 / 5 » Sparse decomposition of two dimensional signals |
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
DCC
2004
IEEE
14 years 8 months ago
2004
IEEE
It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curve...
ICASSP
2011
IEEE
13 years 7 days ago
2011
IEEE
Minimum mean squared error estimates generally are not optimal in terms of a common track error statistic used in tracking benchmarks, namely a form of the Mean Optimal Subpattern...
ICA
2012
Springer
12 years 4 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
The Random Demodulator (RD) and the Modulated Wideband Converter (MWC) are two recently proposed compressed sensing (CS) techniques for the acquisition of continuous-time spectral...