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ICIP
2004
IEEE
16 years 8 months ago
Efficient proposal distributions for MCMC image segmentation
We present methods to obtain computationally efficient proposal distributions for Bayesian reversible jump Markov chain Monte Carlo (RJMCMC) based image segmentation. The slow con...
Timo Kostiainen, Jouko Lampinen
ICASSP
2009
IEEE
16 years 1 months ago
Bayesian sparse image reconstruction for MRFM
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
CALCO
2007
Springer
100views Mathematics» more  CALCO 2007»
16 years 14 days ago
Applications of Metric Coinduction
Metric coinduction is a form of coinduction that can be used to establish properties of objects constructed as a limit of finite approximations. One can prove a coinduction step s...
Dexter Kozen, Nicholas Ruozzi
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
16 years 10 days ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila
DAGSTUHL
2007
15 years 7 months ago
Three results on the PageRank vector: eigenstructure, sensitivity, and the derivative
The three results on the PageRank vector are preliminary but shed light on the eigenstructure of a PageRank modified Markov chain and what happens when changing the teleportation ...
David Gleich, Peter W. Glynn, Gene H. Golub, Chen ...