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ICASSP
2008
IEEE
14 years 1 months ago
Determining the parameters in regularized super-resolution reconstruction
We derive a novel method to determine the parameters for regularized super-resolution problems. The proposed approach relies on the Joint Maximum a Posteriori (JMAP) estimation te...
Marcelo Victor Wüst Zibetti, Joceli Mayer, Fe...
ECCV
2010
Springer
14 years 25 days ago
Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras
A technique for calibrating a network of perspective cameras based on their graph of trifocal tensors is presented. After estimating a set of reliable epipolar geometries, a parame...
IJAR
2006
118views more  IJAR 2006»
13 years 7 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
AMCS
2010
146views Mathematics» more  AMCS 2010»
13 years 7 months ago
Sensor network design for the estimation of spatially distributed processes
satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed pheno...
Dariusz Ucinski, Maciej Patan
MOBIHOC
2008
ACM
14 years 7 months ago
Using persistent homology to recover spatial information from encounter traces
In order to better understand human and animal mobility and its potential effects on Mobile Ad-Hoc networks and Delay-Tolerant Networks, many researchers have conducted experiment...
Brenton D. Walker