114 search results - page 5 / 23 » Matrix Probing and its Conditioning |
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
ECAI
2010
Springer
13 years 4 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
SIGMETRICS
2006
ACM
14 years 20 days ago
2006
ACM
A new methodology to assess transient performance measures of tree-like processes is proposed by introducing the concept of tree-like processes with marked time epochs. As opposed...
CORR
2011
Springer
12 years 10 months ago
2011
Springer
—In this paper, we introduce a sparse approximation property of order s for a measurement matrix A: xs 2 ≤ D Ax 2 + β σs(x) √ s for all x, where xs is the best s-sparse app...
ARC
2008
Springer
13 years 8 months ago
2008
Springer
Reconfigurable architectures enable the hardware function to be implemented by the user and, due to its characteristics, have been used in many areas, including Bioinformatics. One...