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TSP
2008
103views more  TSP 2008»
15 years 6 months ago
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches
Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...
GLOBECOM
2010
IEEE
15 years 4 months ago
A Graphical Framework for Spectrum Modeling and Decision Making in Cognitive Radio Networks
There are many key problems of decision making related to spectrum occupancies in cognitive radio networks. It is known that there exist correlations of spectrum occupancies in tim...
Husheng Li, Robert C. Qiu
CVPR
1999
IEEE
16 years 8 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
ICIP
2003
IEEE
16 years 8 months ago
A Bayesian framework for Gaussian mixture background modeling
Background subtraction is an essential processing component for many video applications. However, its development has largely been application driven and done in ad hoc manners. I...
Dar-Shyang Lee, Jonathan J. Hull, Berna Erol
ICPR
2000
IEEE
16 years 7 months ago
A Model of Stroke Extraction from Chinese Character Images
Given the large number and complexity of Chinese characters, pattern matching based on structural decomposition and analysis is believed to be necessary and essential to off-line ...
Ruini Cao, Chew Lim Tan