James K. Murphy

Affiliations:
  • Cambridge University, UK


According to our database1, James K. Murphy authored at least 23 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions.
IEEE Trans. Cybern., 2018

2017
Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework.
IEEE Signal Process. Mag., 2017

2016
Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo.
IEEE Trans. Signal Process., 2016

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles.
IEEE Trans. Cybern., 2016

Blocked Particle Gibbs Schemes for High Dimensional Interacting Systems.
IEEE J. Sel. Top. Signal Process., 2016

Bayesian Inference of Task-Based Functional Brain Connectivity Using Markov Chain Monte Carlo Methods.
IEEE J. Sel. Top. Signal Process., 2016

A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Predictive Pointing from Automotive to Inclusive Design.
Proceedings of the Universal Access in Human-Computer Interaction. Users and Context Diversity, 2016

Sparse structure inference for group and network tracking.
Proceedings of the 19th International Conference on Information Fusion, 2016

Sequential sparse system estimation for linear systems with nonlinear observations.
Proceedings of the 19th International Conference on Information Fusion, 2016

Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Bayesian parameter estimation of Jump-Langevin systems for trend following in finance.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient filtering and sampling for a class of time-varying linear systems.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Destination inference using bridging distributions.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Road-assisted multiple target tracking in clutter.
Proceedings of the 17th International Conference on Information Fusion, 2014

Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Benders, Nested Benders and Stochastic Programming: An Intuitive Introduction.
CoRR, 2013

2012
Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics.
IEEE J. Sel. Top. Signal Process., 2012

Simultaneous localization and mapping for non-parametric potential field environments.
Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2012

Structure inference for networks with general non-parametric inter-object relationships.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Joint Bayesian removal of impulse and background noise.
Proceedings of the IEEE International Conference on Acoustics, 2011


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