351 search results - page 5 / 71 » The Skip-Innovation Model for Sparse Images |
IPMI
2011
Springer
12 years 10 months ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
SIAMIS
2011
13 years 2 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
TSP
2010
13 years 2 months ago
2010
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
ISBI
2011
IEEE
12 years 11 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...
NIPS
2004
13 years 8 months ago
2004
It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...