255 search results - page 26 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Sparse representation has found applications in numerous domains and recent developments have been focused on the convex relaxation of the 0-norm minimization for sparse coding (i...
NIPS
1998
14 years 11 months ago
1998
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
65
Voted
ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
Magnetic resonance imaging (MRI) is often times limited by scan time. To reduce scan time, there have been various efforts to reduce the number of sampling points. In most cases, ...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
According to Shannon Sampling Theory, Fourier interpolation is the optimal way to reach subpixel accuracy from a properly-sampled digital image. However, for most images this inte...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...