77 search results - page 11 / 16 » A Novel STAP Algorithm using Sparse Recovery Technique |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
CVPR
2007
IEEE
15 years 24 days ago
2007
IEEE
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
TSP
2010
13 years 5 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
ISVC
2010
Springer
13 years 8 months ago
2010
Springer
We introduce Indented Pixel Tree Plots (IPTPs): a novel pixel-based visualization technique for depicting large hierarchies. It is inspired by the visual metaphor of indented outli...
TMI
2008
13 years 10 months ago
2008
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...