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» Simulation Input Updating Using Bayesian Techniques
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TIT
1998
81views more  TIT 1998»
13 years 8 months ago
Fast Iterative Coding Techniques for Feedback Channels
Abstract—A class of capacity-achieving, low-complexity, highreliability, variable-rate coding schemes is developed for communication over discrete memoryless channels with noisel...
James M. Ooi, Gregory W. Wornell
3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
14 years 2 months ago
A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data
Building footprints have been shown to be extremely useful in urban planning, infrastructure development, and roof modeling. Current methods for creating these footprints are ofte...
Oliver Wang, Suresh K. Lodha, David P. Helmbold
NIPS
2008
13 years 10 months ago
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
The synchronous brain activity measured via MEG (or EEG) can be interpreted as arising from a collection (possibly large) of current dipoles or sources located throughout the cort...
David P. Wipf, Julia Owen, Hagai Attias, Kensuke S...
IJBIDM
2006
78views more  IJBIDM 2006»
13 years 8 months ago
Appraisal of companies with Bayesian networks
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Priyantha Wijayatunga, Shigeru Mase, Masanori Naka...
ICCV
1998
IEEE
14 years 10 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...