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» Inferring Mixtures of Markov Chains
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ICML
2008
IEEE
16 years 17 days ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
UAI
2008
15 years 1 months ago
Sensitivity analysis for finite Markov chains in discrete time
When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering a...
Gert De Cooman, Filip Hermans, Erik Quaeghebeur
WACV
2005
IEEE
15 years 5 months ago
Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach
This paper addresses the problem of tracking human body pose in monocular video including automatic pose initialization and re-initialization after tracking failures caused by par...
Mun Wai Lee, Ramakant Nevatia
NIPS
2008
15 years 1 months ago
The Infinite Factorial Hidden Markov Model
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
ICASSP
2011
IEEE
14 years 3 months ago
Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model
This paper addresses the problem of estimating the statistical distribution of multiple-tissue non-stationary ultrasound images of skin. The distribution of multiple-tissue images...
Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, J...