32 search results - page 3 / 7 » Iterative Compression for Exactly Solving NP-Hard Minimizati... |
RTSS
2006
IEEE
13 years 11 months ago
2006
IEEE
The elastic task model proposed by Buttazzo, et. al. [9] is a powerful model for adapting real-time systems in the presence of uncertainty. This paper generalizes the existing ela...
CVPR
2009
IEEE
15 years 18 days ago
2009
IEEE
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...
ORL
1998
13 years 5 months ago
1998
Good heuristic solutions for large Multisource Weber problems can be obtained by solving related p-median problems in which potential locations of the facilities are users location...
CORR
2011
Springer
12 years 9 months ago
2011
Springer
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...