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» Feature Correspondence: A Markov Chain Monte Carlo Approach
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ICIP
2010
IEEE
13 years 5 months ago
Instrument parameter estimation in bayesian convex deconvolution
This paper proposes a Bayesian approach for estimation of instrument parameter in convex image deconvolution. The parameters of the instrument response (PSF) are jointly estimated...
François Orieux, Thomas Rodet, Jean-Fran&cc...
WSC
2007
13 years 9 months ago
Transformations for accelerating MCMC simulations with broken ergodicity
A new approach for overcoming broken ergodicity in Markov Chain Monte Carlo (MCMC) simulations of complex systems is described. The problem of broken ergodicity is often present i...
Mark Fleischer
ICPR
2008
IEEE
14 years 8 months ago
Dual generative models for human motion estimation from an uncalibrated monocular camera
We propose a new approach to estimate gait kinematics from image sequences taken by a monocular uncalibrated camera. This approach involves two generative models for gait represen...
Guoliang Fan, Xin Zhang
ICML
2009
IEEE
14 years 8 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
PKDD
2004
Springer
113views Data Mining» more  PKDD 2004»
14 years 26 days ago
Discovery of Regulatory Connections in Microarray Data
Abstract. In this paper, we introduce a new approach for mining regulatory interactions between genes in microarray time series studies. A number of preprocessing steps transform t...
Michael Egmont-Petersen, Wim de Jonge, Arno Siebes