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David P. Williams
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Cited by
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On semi-supervised classification
B Krishnapuram, D Williams, Y Xue, L Carin, M Figueiredo, A Hartemink
Advances in neural information processing systems 17, 2004
1562004
On classification with incomplete data
D Williams, X Liao, Y Xue, L Carin, B Krishnapuram
IEEE transactions on pattern analysis and machine intelligence 29 (3), 427-436, 2007
1172007
Mine classification with imbalanced data
DP Williams, V Myers, MS Silvious
IEEE Geoscience and Remote Sensing Letters 6 (3), 528-532, 2009
1132009
Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks
DP Williams
2016 23rd international conference on pattern recognition (ICPR), 2497-2502, 2016
922016
Incomplete-data classification using logistic regression
D Williams, X Liao, Y Xue, L Carin
Proceedings of the 22nd International Conference on Machine learning, 972-979, 2005
822005
On optimal AUV track-spacing for underwater mine detection
DP Williams
2010 IEEE International Conference on Robotics and Automation, 4755-4762, 2010
752010
Exploiting environmental information for improved underwater target classification in sonar imagery
DP Williams, E Fakiris
IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6284-6297, 2014
602014
A real-time underwater object detection algorithm for multi-beam forward looking sonar
E Galceran, V Djapic, M Carreras, DP Williams
IFAC Proceedings Volumes 45 (5), 306-311, 2012
562012
Bayesian data fusion of multiview synthetic aperture sonar imagery for seabed classification
DP Williams
IEEE Transactions on Image Processing 18 (6), 1239-1254, 2009
562009
Fast target detection in synthetic aperture sonar imagery: A new algorithm and large-scale performance analysis
DP Williams
IEEE Journal of Oceanic Engineering 40 (1), 71-92, 2014
532014
Fast unsupervised seafloor characterization in sonar imagery using lacunarity
DP Williams
IEEE transactions on Geoscience and Remote Sensing 53 (11), 6022-6034, 2015
442015
The Mondrian detection algorithm for sonar imagery
DP Williams
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1091-1102, 2017
352017
AUV-enabled adaptive underwater surveying for optimal data collection
DP Williams
Intelligent Service Robotics 5 (1), 33-54, 2012
352012
Detection rate statistics in synthetic aperture sonar images
J Groen, E Coiras, D Williams
NURC, 2009
352009
Adaptive multiview target classification in synthetic aperture sonar images using a partially observable Markov decision process
V Myers, DP Williams
IEEE Journal of Oceanic Engineering 37 (1), 45-55, 2011
322011
A fast physics-based, environmentally adaptive underwater object detection algorithm
DP Williams, J Groen
OCEANS 2011 IEEE-Spain, 1-7, 2011
302011
Analytical kernel matrix completion with incomplete multi-view data
D Williams, L Carin
Proceedings of the International Conference on Machine Learning (ICML …, 2005
302005
Adaptive underwater sonar surveys in the presence of strong currents
DP Williams, F Baralli, M Micheli, S Vasoli
2016 IEEE International Conference on Robotics and Automation (ICRA), 2604-2611, 2016
292016
Sea-floor acoustic anisotropy and complexity assessment towards prediction of ATR performance
E Fakiris, D Williams, M Couillard, W Fox
Proc. International Conference on Underwater Acoustics, 1277-1284, 2013
262013
On the use of tiny convolutional neural networks for human-expert-level classification performance in sonar imagery
DP Williams
IEEE journal of oceanic engineering 46 (1), 236-260, 2020
232020
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