4 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
A Heteroscedastic Likelihood Model for Two-frame Optical Flow
Timothy Farnworth, Christopher Renton, Reuben Strydom +2
Machine vision is an important sensing technology used in mobile robotic systems. Advancing the autonomy of such systems requires accurate characterisation of sensor uncertainty. V…
A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton +1
Jump Markov linear systems (JMLS) are a useful class which can be used to model processes which exhibit random changes in behavior during operation. This paper presents a numerical…
A New Smoothing Algorithm for Jump Markov Linear Systems
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton +1
This paper presents a method for calculating the smoothed state distribution for Jump Markov Linear Systems. More specifically, the paper details a novel two-filter smoother that p…
Bayesian Parameter Identification for Jump Markov Linear Systems
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton +1
This paper presents a Bayesian method for identification of jump Markov linear system parameters. A primary motivation is to provide accurate quantification of parameter uncertaint…