29 search results - page 4 / 6 » Sparse Gradient Image Reconstruction Done Faster |
UAI
2008
13 years 11 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
ICML
2009
IEEE
14 years 10 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...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Several attempts have been lately proposed to tackle the
problem of recovering the original image of an underwater
scene using a sequence distorted by water waves. The
main draw...
MM
2010
ACM
13 years 7 months ago
2010
ACM
In this paper, we investigate how an unlabeled image corpus can facilitate the segmentation of any given image. A simple yet efficient multi-task joint sparse representation model...
GRAPHICSINTERFACE
2003
13 years 11 months ago
2003
We present a novel algorithm for simultaneous visual hull reconstruction and rendering by exploiting off-theshelf graphics hardware. The reconstruction is accomplished by projecti...