John Mashford

According to our database, John Mashford authored at least 21 papers between 1995 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

A Spectral Calculus for Lorentz Invariant Measures on Minkowski Space.

John Mashford

Symmetry, 2020

A Neural Markovian Multiresolution Image Labeling Algorithm.

John Mashford, Brad Lane, Vic Ciesielski, Felix Lipkin

Proceedings of the Intelligent Computing, 2020

2018

A Neural Markovian Concurrent Image Labeling Algorithm.

John Mashford

CoRR, 2018

2014

Edge Detection in Pipe Images Using Classification of Haar Wavelet Transforms.

John Mashford, Mike Rahilly, Brad Lane, Donavan Marney, Stewart Burn

Appl. Artif. Intell., 2014

Automatic Interpretation of Remotely Sensed Images for Urban Form Assessment.

John Mashford, Felix Lipkin, Charlelie Olie, Mailys Cuchennec, Yong Song

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

2013

An Approach to Enterprise Collaboration through Concurrent Scene Understanding and Interoperation.

John Mashford

Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012

Risk-based prioritization and its application to inspection of valves in the water sector.

David R. Marlow, David J. Beale, John S. Mashford

Reliab. Eng. Syst. Saf., 2012

Development of a Fuzzy Risk Ranking Model for Prioritizing Manhole Inspection.

Dung Tran, John Mashford, Robert May, David R. Marlow

J. Comput. Civ. Eng., 2012

Leak Detection in Simulated water Pipe Networks Using SVM.

John Mashford, Dhammika De Silva, Stewart Burn, Donavan Marney

Appl. Artif. Intell., 2012

Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections.

Hiran Ganegedara, Damminda Alahakoon, John Mashford, Andrew P. Paplinski, Karsten Müller, Thomas Martin Deserno

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Pipeline Reconstruction from Fisheye Images.

Yuhang Zhang, Richard I. Hartley, John Mashford, Lei Wang, Stewart Burn

J. WSCG, 2011

Prediction of Sewer Condition Grade Using Support Vector Machines.

John Mashford, David R. Marlow, Dung Tran, Robert May

J. Comput. Civ. Eng., 2011

Superpixels via pseudo-Boolean optimization.

Yuhang Zhang, Richard I. Hartley, John Mashford, Stewart Burn

Proceedings of the IEEE International Conference on Computer Vision, 2011

Superpixels, Occlusion and Stereo.

Yuhang Zhang, Richard I. Hartley, John Mashford, Stewart Burn

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2009

An Approach to Leak Detection in Pipe Networks Using Analysis of Monitored Pressure Values by Support Vector Machine.

John Mashford, Dhammika De Silva, Donavan Marney, Stewart Burn

Proceedings of the Third International Conference on Network and System Security, 2009

2008

An Approach Using Mathematical Morphology and Support Vector Machines to Detect Features in Pipe Images.

John Mashford, Mike Rahilly, Paul Davis

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

2007

Pixel-Based Colour Image Segmentation Using Support Vector Machine for Automatic Pipe Inspection.

John Mashford, Paul Davis, Mike Rahilly

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2001

Airline Base Schedule Optimisation by Flight Network Annealing.

John S. Mashford, Bertil Marksjö

Ann. Oper. Res., 2001

2000

PIRAT - A System for Quantitative Sewer Pipe Assessment.

Robin Kirkham, Patrick D. Kearney, Kevin J. Rogers, John Mashford

Int. J. Robotics Res., 2000

Image classifier and scene understanding systems of multiagent teams.

John Mashford, Wei Dai, Robin Drogemuller, Bertil Marksjö

Proceedings of the IEEE International Conference on Systems, 2000

1995

A neural network image classification system for automatic inspection.

John S. Mashford

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995