1582 search results - page 99 / 317 » On sparse signal representations |
195
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ISBI
2011
IEEE
14 years 9 months ago
2011
IEEE
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
176
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
We propose in this paper to unify two different ap-
proaches to image restoration: On the one hand, learning a
basis set (dictionary) adapted to sparse signal descriptions
has p...
179
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PERCOM
2007
ACM
16 years 5 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
146
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ICASSP
2009
IEEE
16 years 25 days ago
2009
IEEE
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
172
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...