226 search results - page 21 / 46 » How to learn a graph from smooth signals |
74
Voted
ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
TON
2010
14 years 4 months ago
2010
Aggregate traffic loads and topology in multi-hop wireless networks may vary slowly, permitting MAC protocols to `learn' how to spatially coordinate and adapt contention patte...
BMCBI
2010
14 years 9 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
AIEDAM
1998
14 years 9 months ago
1998
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
109
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...