1391 search results - page 70 / 279 » Optimally Sparse Frames |
130
click to vote
TIT
2010
14 years 6 months ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Common Spatial Pattern (CSP) is widely used in discriminating two classes of EEG in Brain Computer Interface applications. However, the performance of the CSP algorithm is affecte...
117
click to vote
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
119
click to vote
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
130
click to vote
JMLR
2012
13 years 2 months ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...