Chris Aldrich

According to our database1, Chris Aldrich authored at least 14 papers between 1995 and 2018.

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Bibliography

2018
Statistical process monitoring of a base metal flotation plant using a Gaussian mixture model and dissimilarity scale based singular spectrum analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2015
A spatial information measure method for hyperspectral image visualization.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Motion estimation in flotation froth using the Kalman filter.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods
Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-1-4471-5185-2, 2013

2012
Estimating size fraction categories of coal particles on conveyor belts using image texture modeling methods.
Expert Syst. Appl., 2012

Motion estimation in flotation froth images based on edge detection and mutual information.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
The cross-entropy method in multi-objective optimisation: An assessment.
Eur. J. Oper. Res., 2011

2010
Rock image segmentation using watershed with shape markers.
Proceedings of the 39th IEEE Applied Imagery Pattern Recognition Workshop, 2010

2006
Classification of process dynamics with Monte Carlo singular spectrum analysis.
Comput. Chem. Eng., 2006

1999
ANN-DT: an algorithm for extraction of decision trees from artificial neural networks.
IEEE Trans. Neural Networks, 1999

Combinatorial evolution of regression nodes in feedforward neural networks.
Neural Networks, 1999

1998
Visualization of transformed multivariate data sets with autoassociative neural networks.
Pattern Recognit. Lett., 1998

1995
The tracking of changes in chemical processes using computer vision and self-organizing maps.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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