Generative models for functional data using phase and amplitude separation JD Tucker, W Wu, A Srivastava Computational Statistics & Data Analysis 61, 50-66, 2013 | 228 | 2013 |
Coherence-based underwater target detection from multiple disparate sonar platforms JD Tucker, MR Azimi-Sadjadi IEEE Journal of Oceanic Engineering 36 (1), 37-51, 2011 | 82 | 2011 |
Variability of ventricular repolarization dispersion quantified by time-warping the morphology of the T-waves J Ramirez, M Orini, JD Tucker, E Pueyo, P Laguna IEEE Transactions on Biomedical Engineering 64 (7), 1619-1630, 2016 | 70 | 2016 |
fdasrvf: Elastic functional data analysis JD Tucker R package version 1 (1), 2017 | 42 | 2017 |
Elastic depths for detecting shape anomalies in functional data T Harris, JD Tucker, B Li, L Shand Technometrics 63 (4), 466-476, 2021 | 33 | 2021 |
Image-based automated change detection for synthetic aperture sonar by multistage coregistration and canonical correlation analysis G Tesfaye, B Marchand, JD Tucker, TM Marston, DD Sternlicht, ... IEEE Journal of Oceanic Engineering 41 (3), 592-612, 2015 | 24 | 2015 |
Analysis of proteomics data: Phase amplitude separation using an extended Fisher-Rao metric JD Tucker, W Wu, A Srivastava | 24 | 2014 |
fdasrvf: Elastic Functional Data Analysis, 2020 JD Tucker R package version 1 (7), 0 | 21 | |
Handling missing data in self-exciting point process models JD Tucker, L Shand, JR Lewis Spatial statistics 29, 160-176, 2019 | 18 | 2019 |
Scalable multiple changepoint detection for functional data sequences T Harris, B Li, JD Tucker Environmetrics 33 (2), e2710, 2022 | 17 | 2022 |
Elastic functional principal component regression JD Tucker, JR Lewis, A Srivastava Statistical Analysis and Data Mining: The ASA Data Science Journal 12 (2 …, 2019 | 17 | 2019 |
Functional component analysis and regression using elastic methods JD Tucker The Florida State University, 2014 | 17 | 2014 |
Underwater minefield detection in clutter data using spatial point-process models D Bryner, F Huffer, A Srivastava, JD Tucker IEEE Journal of Oceanic Engineering 41 (3), 670-681, 2016 | 15 | 2016 |
Canonical correlation analysis for coherent change detection in synthetic aperture sonar imagery T G-Michael, JD Tucker Institute of Acoustics Proceedings 32 (4), 117-122, 2010 | 15 | 2010 |
Canonical coordinates for detection and classification of underwater objects from sonar imagery JD Tucker, MR Azimi-Sadjadi, GJ Dobeck OCEANS 2007-Europe, 1-6, 2007 | 15 | 2007 |
Computer model calibration based on image warping metrics: an application for sea ice deformation Y Guan, C Sampson, JD Tucker, W Chang, A Mondal, M Haran, D Sulsky Journal of Agricultural, Biological and Environmental Statistics 24, 444-463, 2019 | 12 | 2019 |
Analysis of signals under compositional noise with applications to SONAR data JD Tucker, W Wu, A Srivastava IEEE Journal of Oceanic Engineering 39 (2), 318-330, 2013 | 12 | 2013 |
fdasrvf: Elastic Functional Data Analysis. R package version 1.9. 3 JD Tucker A. Online Supplement for Paper I, 2020 | 11 | 2020 |
Signal diffusion features for automatic target recognition in synthetic aperture sonar JC Isaacs, JD Tucker 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP …, 2011 | 11 | 2011 |
Underwater target detection from multi-platform sonar imagery using multi-channel coherence analysis N Klausner, MR Azimi-Sadjadi, JD Tucker 2009 IEEE International Conference on Systems, Man and Cybernetics, 2728-2733, 2009 | 11 | 2009 |