David Lowe

Affiliations:
  • Aston University, Department of Mathematics, Birmingham, UK


According to our database1, David Lowe authored at least 19 papers between 1998 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Probabilistic Message-Passing Control.
IEEE Trans. Syst. Man Cybern. Syst., 2022

2020
PMAC: probabilistic multimodality adaptive control.
Int. J. Control, 2020

2018
ECG-Derived Respiration Using a Real-Time QRS Detector Based on Empirical Mode Decomposition.
Proceedings of the 12th International Conference on Signal Processing and Communication Systems, 2018

2014
Analysis of Multibeam SONAR Data using Dissimilarity Representations.
CoRR, 2014

Predictability of unplanned extubations.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2010
Watermark-Only Security Attack on DM-QIM Watermarking: Vulnerability to Guided Key Guessing.
Int. J. Digit. Crime Forensics, 2010

2009
Participatory EHPR: A Watermarking Solution.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Watermarking: How secure is the DM-QIM embedding technique?
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Exploiting sensitivity of nonorthogonal joint diagonalisation as a security mechanism in steganography.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2008
A Bayesian Perspective on Stochastic Neurocontrol.
IEEE Trans. Neural Networks, 2008

Stochastic Control Strategies and Adaptive Critic Methods.
Proceedings of the ICINCO 2008, 2008

2007
Distribution Modeling of Nonlinear Inverse Controllers Under a Bayesian Framework.
IEEE Trans. Neural Networks, 2007

2006
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model.
Neurocomputing, 2006

Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model.
Int. J. Model. Identif. Control., 2006

2004
A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems.
Eng. Appl. Artif. Intell., 2004

2003
Robust control of nonlinear stochastic systems by modelling conditional distributions of control signals.
Neural Comput. Appl., 2003

2002
A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems.
Proceedings of the Artificial Neural Networks, 2002

1999
Component analysis in financial time series.
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

1998
Characterising complexity by the degrees of freedom in a radial basis function network.
Neurocomputing, 1998


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