Maritime abnormality detection using Gaussian processes
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[1] Rikard Laxhammar,et al. Anomaly detection for sea surveillance , 2008, 2008 11th International Conference on Information Fusion.
[2] Douglas M. Bates,et al. Unconstrained parametrizations for variance-covariance matrices , 1996, Stat. Comput..
[3] Stephen Roberts,et al. Overlapping community detection using Bayesian non-negative matrix factorization. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] Jeffrey Paduan,et al. Monitoring coastal vessels for environmental applications: Application of Kalman filtering , 2011, 2011 IEEE/OES 10th Current, Waves and Turbulence Measurements (CWTM).
[5] Kevin B. Korb,et al. Anomaly detection in vessel tracks using Bayesian networks , 2014, Int. J. Approx. Reason..
[6] Iead Rezek,et al. Inferring social network structure in ecological systems from spatio-temporal data streams , 2012, Journal of The Royal Society Interface.
[7] Stephen J. Roberts,et al. Extreme value statistics for novelty detection in biomedical signal processing , 2000 .
[8] Steven Reece,et al. Gaussian Process Segmentation of Co-Moving Animals , 2011 .
[9] Michael A. Osborne. Bayesian Gaussian processes for sequential prediction, optimisation and quadrature , 2010 .
[10] Leto Peel,et al. Fast Maritime Anomaly Detection using KD Tree Gaussian Processes , 2011 .
[11] Mason A. Porter,et al. Communities in Networks , 2009, ArXiv.
[12] Stephen J. Roberts,et al. Dynamic Bayesian Combination of Multiple Imperfect Classifiers , 2012, Decision Making and Imperfection.
[13] S. Fortunato,et al. Resolution limit in community detection , 2006, Proceedings of the National Academy of Sciences.
[14] Robert J. Budzy'nski,et al. Applications of distance between probability distributions to gravitational wave data analysis , 2008 .
[15] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[16] Hyoungjoo Lee,et al. On-line novelty detection using the Kalman filter and extreme value theory , 2008, 2008 19th International Conference on Pattern Recognition.
[17] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[18] Jouni Hartikainen,et al. Kalman filtering and smoothing solutions to temporal Gaussian process regression models , 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.
[19] M. Basseville. Distance measures for signal processing and pattern recognition , 1989 .
[20] Göran Falkman,et al. Anomaly detection in sea traffic - A comparison of the Gaussian Mixture Model and the Kernel Density Estimator , 2009, 2009 12th International Conference on Information Fusion.
[21] Tatiana V. Guy,et al. Decision Making and Imperfection , 2013, Decision Making and Imperfection.
[22] Paul J. McWhorter,et al. Extremal dynamics: A unifying physical explanation of fractals, 1/f noise, and activated processes , 1993 .
[23] Tarunraj Singh,et al. Anomaly Detection using Context-Aided Target Tracking , 2011, J. Adv. Inf. Fusion.
[24] Sameer Singh,et al. Novelty detection: a review - part 1: statistical approaches , 2003, Signal Process..
[25] B.J. Rhodes,et al. Maritime situation monitoring and awareness using learning mechanisms , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.
[26] Richard O. Lane,et al. Maritime anomaly detection and threat assessment , 2010, 2010 13th International Conference on Information Fusion.
[27] F. E. Grubbs. Procedures for Detecting Outlying Observations in Samples , 1969 .
[28] Sangkyum Kim,et al. Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects , 2006, ISI.
[29] Steven Reece,et al. The Near Constant Acceleration Gaussian Process Kernel for Tracking , 2010, IEEE Signal Processing Letters.
[30] Sameer Singh,et al. Novelty detection: a review - part 2: : neural network based approaches , 2003, Signal Process..