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10/14/2020
A Heteroscedastic Likelihood Model for Two-frame Optical Flow
Machine vision is an important sensing technology used in mobile robotic...
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04/18/2020
Bayesian Parameter Identification for Jump Markov Linear Systems
This paper presents a Bayesian method for identification of jump Markov ...
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04/18/2020
A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems
Jump Markov linear systems (JMLS) are a useful class which can be used t...
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04/18/2020
A New Smoothing Algorithm for Jump Markov Linear Systems
This paper presents a method for calculating the smoothed state distribu...
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02/07/2020
Constructing a variational family for nonlinear state-space models
We consider the problem of maximum likelihood parameter estimation for n...
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10/18/2019
Learning Continuous Occupancy Maps with the Ising Process Model
We present a new method of learning a continuous occupancy field for use...
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05/16/2017