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2019

Y. Guan, C. Sampson, J. D. Tucker, W. Chang, A. Mondal, M. Haran, and D. Sulsky, “Computer model calibration based on image warping metrics: an application for sea ice deformation,” Journal of Agricultural, Biological and Environmental Statistics, accepted, 2018. arxiv preprint

J. D. Tucker, J. R. Lewis, C. King, and S. Kurtek, “A Geometric Approach for Computing Tolerance Bounds for Elastic Functional Data,” Journal of Applied Statistics, in revision, 2018. arxiv preprint

2018

J. D. Tucker, L. Shand, and J. R. Lewis, “Handling Missing Data in Self-Exciting Point Process Models,” Spatial Statistics, 10.1016/j.spasta.2018.12.004, 2018. PDF

J. D. Tucker, J. R. Lewis, and A. Srivastava, “Elastic Functional Principal Component Regression,” Statistical Analysis and Data Mining, 10.1002/sam.11399, 2018. PDF

T. Harris, B. Li, N. Steiger, J. Smerdon, and J. D. Tucker. “Evaluating Proxy Influence in Data Assimilation,” Proc Climate Informatics, September 2018

T. Harris, B. Li, N. Steiger, J. Smerdon, and J. D. Tucker. “Evaluating proxy influence in data assimilation based climate field reconstruction,.” Proc JSM, August 2018

M. K. Ahn, J. D. Tucker, W. Wu, and A. Srivastava. “Elastic handling of predictor phase in functional regression models.” International Workshop on DIFF-CVML: Differential Geometry in Computer Vision and Machine Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, June 2018. PDF

2017

J. Ramirez, M. Orini, J. D. Tucker, P. Laguna, and E. Pueyo, “Variability of Ventricular Repolarization Dispersion Quantified by Time-Warping the Morphology of the T-waves,” IEEE Transactions on Biomedical Engineering, vol. 64, no. 7, pp. 1619-1630, 2017. PDF

2016

D. Bryner, F. Huffer, M. M. Rosenthal, J. D. Tucker, and A. Srivastava, “Linear Minelayer Trajectory Estimation Using Cluttered Point Cloud Data,” Computational Statistics and Data Analysis, vol. 102, pp. 1-22, October 2016 PDF

J. Ramirez, M. Orini, J. D. Tucker, P. Laguna, and E. Pueyo, "An Index for T‐wave Pointwise Amplitude Variability Quantification,’’ Proc CinC (Mortara Winner), September 2016. PDF

J. D. Tucker, "Functional Statistical Process Control using Elastic Methods,’’ Proc JSM, August 2016. PDF

D. Bryner, F. Huffer, A. Srivastava, and J. D. Tucker, “Underwater Mine Detection In Clutter Data Using Spatial Point Process Models,” IEEE Journal of Oceanic Engineering, vol 41, no. 3. pp 670-681, 2016 PDF

T. G-Michael, B. Marchand, J. D. Tucker, D. D. Sternlicht, T. M. Marston, and M. R. Azimi-Sadjadi, “Image-based Automated Change Detection for Synthetic Aperture Sonar,” IEEE Journal of Oceanic Engineering, vol 41, no. 3. pp 592-612, 2016. PDF

T. G-Michael, J. D. Tucker, and R. R. Roberts, “Statistically Normalized Coherent Change Detection for Synthetic Aperture Sonar Imagery,” Proc SPIE, April 2016. PDF

2014

J. D. Tucker, W. Wu, and A. Srivastava, “Phase-Amplitude Separation of Proteomics Data Using Extended Fisher-Rao Metric,” Electronic Journal of Statistics, vol 8, no. 2. pp 1724-1733, 2014. [PDF | Code]

T. G-Michael, B. Marchand, J. D. Tucker, D. D. Sternlicht, and T. M. Marston,“Automated Change Detection for Synthetic Aperture Sonar,” Proc SPIE, May 2014. PDF

J. D. Tucker, W. Wu, and A. Srivastava, “Analysis of signals under compositional noise with applications to SONAR data,” IEEE Journal of Oceanic Engineering, vol 29, no. 2. pp 318-330, Apr 2014. [PDF | Code]

2013

J. D. Tucker, W. Wu, and A. Srivastava, “Generative Models for Function Data using Phase and Amplitude Separation,” Computational Statistics and Data Analysis, vol. 61, pp. 50-66, May 2013. [PDF | R | MATLAB | Python | Julia]

2012

J. D. Tucker, W. Wu, and A. Srivastava, “Analysis of Signals Under Compositional Noise with Application to SONAR Data,” Proc. of MTS/IEEE Oceans 2012 Conference, pp. 1-6, Oct. 2012. PDF

2011

J. D. Tucker and N. Klausner, "Compressive Sensing for Gauss-Gauss Detection,’’ Proc. of IEEE SMC 2011 Conference, pp. 3335-3340, Oct. 2011. PDF

J. C. Isaacs and J. D. Tucker, “Diffusion features for target specific recognition with synthetic aperture sonar raw signals and acoustic color,” Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on, pp.27-32, 20-25 June 2011. PDF

J. D. Tucker and A. Srivastava,"Statistical analysis and classification of acoustic color functions,’’ Proc SPIE, vol. 8017, pp. O1-O10, April 2011. PDF

J. D. Tucker and M. R. Azimi-Sadjadi, “Coherence-based underwater target detection from multiple sonar platforms,” IEEE Journal of Oceanic Engineering, vol. 36, no. 1, pp. 37-51, Jan. 2011. PDF

J. C. Isaacs and J. D. Tucker, “Signal diffusion features for automatic target recognition in synthetic aperture sonar,” Proc of IEEE DSP/SPE 2011 Workshop, pp.461-465, Jan. 2011. PDF

J. D. Tucker, J. T. Cobb, and M. R. Azimi-Sadjadi, “Generalized likelihood ratio test for finite mixture model of K-distributed random variables” Proc of IEEE DSP/SPE 2011 Workshop, pp. 443-448, Jan. 2011. PDF

2010

T. G-Michael and J. D. Tucker, “Canonical correlation analysis for coherent change detection in synthetic aperture sonar imagery,” Proc of IEEE SAR/SAS 2010 Conference, vol. 32, no. 4, pp. 117-122, Sep. 2010. PDF

N. Klausner, M. R. Azimi-Sadjadi, and J. D. Tucker, “Multi-sonar target detection using multi-channel coherence analysis,” Proc. of MTS/IEEE Oceans 2010 Conference, pp. 1-7, Sept. 2010. PDF

J. D. Tucker and M. R. Azimi-Sadjadi,“Neyman pearson detection of K-distributed random variables,” Proc SPIE, vol. 7664, pp. Q1-Q12, April 2010. PDF

2009

M. Kabatek, M. R. Azimi-Sadjadi, and J. D. Tucker, "An underwater target detection system for electro-optical imagery data,’’ Proc. of MTS/IEEE Oceans 2009 Conference, pp. 1–8, October 2009. PDF

N. Klausner, J. D. Tucker, and M. R. Azimi-Sadjadi, "Multi-platform target detection using multi-channel coherence analysis and robustness to the effects of disparity,’’ Proc. of MTS/IEEE Oceans 2009 Conference, pp. 1–7, October 2009. PDF

N. Klausner, M. R. Azimi-Sadjadi, and J. D. Tucker, "Underwater target detection from multi-platform sonar imagery using multi-channel coherence analysis,’’ Proc. of IEEE SMC 2009 Conference, pp. 2728–2733, 2009. PDF

2008

J. D. Tucker and M. R. Azimi-Sadjadi, “Coherence-based underwater target detection and classification for side-scan sonar imagery,” Sea Technology Magazine, vol. 12, pp. 10-14, December 2008. PDF

J. D. Tucker, N. Klausner, M. R. Azimi-Sadjadi, “Target detection in m-disparate sonar platforms using multichannel Hypothesis Testing,” Proc. IEEE/MTS Oceans 2008, pp. 1-7, September 2008. PDF

J. D. Tucker, M. R. Azimi-Sadjadi, “Target detection from dual disparate sonar platforms using canonical correlations,” Proc. SPIE, vol. 6553, pp. 65530U– 1–65520U–8, March 2008. PDF

2007

J. D. Tucker, M. R. Azimi-Sadjadi, and G. J. Dobeck, “Canonical coordinates for detection and classification of underwater objects from sonar imagery,” Proceedings of IEEE Oceans 2007, pp. 1-6, June 2007. PDF

J. D. Tucker, M. R. Azimi-Sadjadi, and G. J. Dobeck, “Coherent-based method for detection of underwater objects from sonar imagery,” Proc. SPIE, vol. 6553, pp. 65530U– 1–65520U–8, April 2007. PDF

Invited Talks

“Elastic Functional Data Analysis”, Australian National University Statistics Colloqium, July 12, 2018

“Elastic Functional Data Analysis”, University of New Mexico Statistics Colloqium, February 2, 2018

“Doppler Multi-INT Detection and Tracking”, NSWC-PCD Invited Lecture, October 1, 2015

"Alignment and Analysis of Proteomics Data using Square Root Slope Function Framework’’, CTW: Statistics of Time Warpings and Phase Variations 2012, OSU MBI, Nov 7, 2012 PDF

"Statistical Analysis and Modeling of Elastic Functions’’, Department of Mathematical and Statistical Sciences, University of Alberta, Aug 23, 2011. (Organizer: Yau Shu Wong) PDF

Patents

“Automated Change Detection Technique for Synthetic Aperture Sonar” Accepted