17 search results - page 1 / 4 » Statistically Driven Sparse Image Approximation |
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
Finding the sparsest approximation of an image as a sum of basis functions drawn from a redundant dictionary is an NPhard problem. In the case of a dictionary whose elements form ...
ISBI
2011
IEEE
12 years 8 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...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
ACIVS
2006
Springer
13 years 10 months ago
2006
Springer
We present a novel dedicated hardware system for the extraction of second-order statistical features from high-resolution images. The selected features are based on gray level co-o...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...