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IJON
2010
189views more  IJON 2010»
15 years 5 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
ACCV
2010
Springer
15 years 1 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu
JMLR
2010
194views more  JMLR 2010»
15 years 1 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 6 months ago
Connectivity in Sub-Poisson Networks
: We consider a class of point processes, which we call sub-Poisson; these are point processes that can be directionallyconvexly (dcx) dominated by some Poisson point process. The ...
Bartlomiej Blaszczyszyn, D. Yogeshwaran
SECON
2007
IEEE
16 years 26 days ago
OPERA: An Optimal Progressive Error Recovery Algorithm for Wireless Sensor Networks
—Wireless Sensor Networks (WSNs) require robustness against channel induced errors while retransmission based schemes prove too costly for energy constrained sensor nodes. Channe...
Saad B. Qaisar, Hayder Radha