David P. Williams
Title
Cited by
Cited by
Year
On semi-supervised classification
B Krishnapuram, D Williams, Y Xue, L Carin, M Figueiredo, A Hartemink
Advances in neural information processing systems 17, 721-728, 2004
1572004
Mine classification with imbalanced data
DP Williams, V Myers, MS Silvious
IEEE Geoscience and Remote Sensing Letters 6 (3), 528-532, 2009
1092009
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
1082007
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
722005
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
712016
On optimal AUV track-spacing for underwater mine detection
DP Williams
2010 IEEE International Conference on Robotics and Automation, 4755-4762, 2010
712010
Bayesian data fusion of multiview synthetic aperture sonar imagery for seabed classification
DP Williams
IEEE Transactions on Image Processing 18 (6), 1239-1254, 2009
542009
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
532014
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
502012
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
452014
Fast unsupervised seafloor characterization in sonar imagery using lacunarity
DP Williams
IEEE transactions on Geoscience and Remote Sensing 53 (11), 6022-6034, 2015
372015
Detection rate statistics in synthetic aperture sonar images
J Groen, E Coiras, D Williams
NURC, 2009
352009
AUV-enabled adaptive underwater surveying for optimal data collection
DP Williams
Intelligent Service Robotics 5 (1), 33-54, 2012
322012
A fast physics-based, environmentally adaptive underwater object detection algorithm
DP Williams, J Groen
OCEANS 2011 IEEE-Spain, 1-7, 2011
302011
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
272011
Analytical kernel matrix completion with incomplete multi-view data
D Williams, L Carin
Proceedings of the International Conference on Machine Learning (ICML …, 2005
272005
The Mondrian detection algorithm for sonar imagery
DP Williams
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1091-1102, 2017
262017
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
242016
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
242013
Passive acoustic surveillance of surface vessels using tridimensional array on an underwater glider
A Tesei, R Been, D Williams, B Cardeira, D Galletti, D Cecchi, B Garau, ...
OCEANS 2015-Genova, 1-8, 2015
222015
The system can't perform the operation now. Try again later.
Articles 1–20