534 search results - page 4 / 107 » Data Separation by Sparse Representations |
ICA
2010
Springer
13 years 6 months ago
2010
Springer
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
INTERSPEECH
2010
13 years 1 months ago
2010
Musical noise often arises in the outputs of time-frequency binary mask based blind source separation approaches. Postprocessing is desired to enhance the separation quality. An e...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparse...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...