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CVPR
2010
IEEE
15 years 7 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
TSP
2008
115views more  TSP 2008»
14 years 10 months ago
The Estimation of Laplace Random Vectors in Additive White Gaussian Noise
This paper develops and compares the maximum a posteriori (MAP) and minimum mean-square error (MMSE) estimators for spherically contoured multivariate Laplace random vectors in add...
Ivan W. Selesnick
COCOON
2007
Springer
15 years 3 months ago
Scheduling Selfish Tasks: About the Performance of Truthful Algorithms
This paper deals with problems which fall into the domain of selfish scheduling: a protocol is in charge of building a schedule for a set of tasks without directly knowing their l...
George Christodoulou, Laurent Gourvès, Fann...
ISBI
2006
IEEE
16 years 13 days ago
Joint estimation in MRI using harmonic retrieval methods
One of the key factors affecting functional MRI image reconstruction is field inhomogeneity. It is desirable to estimate both the distortion-free MRI image and field map simultane...
Hien M. Nguyen, Robert L. Morrison Jr., Bradley P....
SAS
2009
Springer
212views Formal Methods» more  SAS 2009»
16 years 8 days ago
The Causal Graph Revisited for Directed Model Checking
Directed model checking is a well-established technique to tackle the state explosion problem when the aim is to find error states in large systems. In this approach, the state spa...
Martin Wehrle, Malte Helmert