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» Estimation of non-stationary Markov Chain transition models
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INTERSPEECH
2010
14 years 6 months ago
Efficient HMM-based estimation of missing features, with applications to packet loss concealment
In this paper, we present efficient HMM-based techniques for estimating missing features. By assuming speech features to be observations of hidden Markov processes, we derive a mi...
Bengt J. Borgström, Per Henrik Borgström...
ICASSP
2011
IEEE
14 years 3 months ago
Enhanced Poisson sum representation for alpha-stable processes
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...
Tatjana Lemke, Simon J. Godsill
ICASSP
2009
IEEE
15 years 6 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...
UAI
2000
15 years 1 months ago
PEGASUS: A policy search method for large MDPs and POMDPs
We propose a new approach to the problem of searching a space of policies for a Markov decision process (MDP) or a partially observable Markov decision process (POMDP), given a mo...
Andrew Y. Ng, Michael I. Jordan
CVIU
2006
162views more  CVIU 2006»
14 years 12 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino