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James Theiler
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2020 – today
- 2024
- [i5]Youzuo Lin, Shihang Feng, James Theiler, Yinpeng Chen, Umberto Villa, Jing Rao, John James Greenhall, Cristian Pantea, Mark A. Anastasio, Brendt Wohlberg:
Physics and Deep Learning in Computational Wave Imaging. CoRR abs/2410.08329 (2024) - 2023
- [j30]Youzuo Lin
, James Theiler
Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion. IEEE Signal Process. Mag. 40(1): 115-133 (2023) - [j29]Stefania Matteoli
Bayesian Target Detection Algorithms for Solid Subpixel Targets in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c43]Stefania Matteoli, James Theiler:
Closed-Form Non-Parametric Admissible Detector for Solid Sub-Pixel Targets. IGARSS 2023: 2274-2277 - [c42]James Theiler:
Bayesian vs Generalized Likelihood Ratio Detection of Solid Sub-Pixel Targets. IGARSS 2023: 2278-2281 - 2022
- [j28]Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin
Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j27]James Theiler
Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6842-6854 (2021) - [c41]James Theiler, Stefania Matteoli, Amanda Ziemann:
Bayesian Detection of Solid Subpixel Targets. IGARSS 2021: 3213-3216 - 2020
- [c40]James Theiler, Alan P. Schaum:
Some Closed-Form Expressions for Absorptive Plume Detection. IGARSS 2020: 1786-1789 - [c39]Youzuo Lin, James Theiler, Brendt Wohlberg, Yue Wu, Zhongping Zhang:
Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging. SSIAI 2020: 13 - [c38]Elena C. Reinisch, James Theiler, Amanda Ziemann:
Identifying forest thinning using anomalous change detection on synthetic aperture radar data. SSIAI 2020: 38-41 - [c37]Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux:
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery. SSIAI 2020: 42-45 - [c36]Christopher X. Ren, Matthew T. Calef, Alice M. S. Durieux, Amanda Ziemann, James Theiler:
On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict. SSIAI 2020: 86-89 - [i4]Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux:
Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets. CoRR abs/2005.08892 (2020) - [i3]Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg:
Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation. CoRR abs/2009.01807 (2020)
2010 – 2019
- 2019
- [i2]Christopher X. Ren, Amanda Ziemann, Alice M. S. Durieux, James Theiler:
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery. CoRR abs/1911.12546 (2019) - 2018
- [j26]James Theiler
Corrections to "Problematic Projection to the In-Sample Subspace for a Kernelized Anomaly Detector". IEEE Geosci. Remote. Sens. Lett. 15(2): 307 (2018) - [c35]James Theiler, Beate G. Zimmer, Amanda Ziemann:
Closed-Form Detector for Solid Sub-Pixel Targets in Multivariate T-Distributed Background Clutter. IGARSS 2018: 2773-2776 - [i1]James Theiler, G. Beate Zimmer, Amanda Ziemann:
Closed-form detector for solid sub-pixel targets in multivariate t-distributed background clutter. CoRR abs/1804.02062 (2018) - 2017
- [j25]James Theiler
Selecting the selector: Comparison of update rules for discrete global optimization. Stat. Anal. Data Min. 10(4): 211-229 (2017) - [c34]Amanda Ziemann, James Theiler:
Variable target detection using Simplex ACE. IGARSS 2017: 1347-1350 - [c33]James Theiler, Amanda Ziemann:
Segmented regression for spatio-spectral background estimation. IGARSS 2017: 3984-3987 - 2016
- [j24]James Theiler, Guen Grosklos:
Problematic Projection to the In-Sample Subspace for a Kernelized Anomaly Detector. IEEE Geosci. Remote. Sens. Lett. 13(4): 485-489 (2016) - [c32]James Theiler, Amanda K. Ziemann:
Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection. Computational Imaging 2016: 1-9 - [c31]James Theiler:
Generic target response as a measure of regression accuracy in multispectral background estimation. SSIAI 2016: 45-48 - [c30]James Theiler, Guen Grosklos:
Cracks in KRX: When more distant points are less anomalous. WHISPERS 2016: 1-5 - 2015
- [c29]Amanda K. Ziemann, James Theiler, David W. Messinger:
Hyperspectral target detection using manifold learning and multiple target spectra. AIPR 2015: 1-7 - 2014
- [j23]Stefania Matteoli, Marco Diani
An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2317-2336 (2014) - 2013
- [j22]Reid B. Porter, James Theiler, Don R. Hush:
Interactive Machine Learning in Data Exploitation. Comput. Sci. Eng. 15(5): 12-20 (2013) - [j21]Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare
Algorithms for Multispectral and Hyperspectral Image Analysis. J. Electr. Comput. Eng. 2013: 908906:1-908906:2 (2013) - [j20]James Theiler:
Matched-Pair Machine Learning. Technometrics 55(4): 536-547 (2013) - [c28]James Theiler:
Spatio-spectral anomalous change detection in hyperspectral imagery. GlobalSIP 2013: 953-956 - [c27]James Theiler, Brendt Wohlberg:
Regression framework for background estimation in remote sensing imagery. WHISPERS 2013: 1-4 - 2012
- [j19]James Theiler, Brendt Wohlberg
Local Coregistration Adjustment for Anomalous Change Detection. IEEE Trans. Geosci. Remote. Sens. 50(8): 3107-3116 (2012) - [c26]Brendt Wohlberg
Local principal component pursuit for nonlinear datasets. ICASSP 2012: 3925-3928 - [c25]James Theiler, Brendt Wohlberg
Detection of spectrally sparse anomalies in hyperspectral imagery. SSIAI 2012: 117-120 - 2011
- [j18]James Theiler, Guangzhi Cao, Leonardo R. Bachega, Charles A. Bouman:
Sparse Matrix Transform for Hyperspectral Image Processing. IEEE J. Sel. Top. Signal Process. 5(3): 424-437 (2011) - [c24]Leonardo R. Bachega, James Theiler, Charles A. Bouman:
Evaluating and improving local hyperspectral anomaly detectors. AIPR 2011: 1-8 - [c23]James Theiler:
Ellipsoid-simplex hybrid for hyperspectral anomaly detection. WHISPERS 2011: 1-4 - 2010
- [j17]Clint Scovel, Don R. Hush, Ingo Steinwart
Radial kernels and their reproducing kernel Hilbert spaces. J. Complex. 26(6): 641-660 (2010) - [j16]James Theiler, Clint Scovel, Brendt Wohlberg
Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 7(2): 271-275 (2010) - [c22]Brendt Wohlberg
Symmetrized local co-registration optimization for anomalous change detection. Computational Imaging 2010: 753307 - [c21]Anna Matsekh, James Theiler:
Block-diagonal representations for covariance-based Anomalous change detectors. IGARSS 2010: 3202-3205 - [c20]Ingo Steinwart
Using support vector machines for anomalous change detection. IGARSS 2010: 3732-3735 - [c19]James Theiler, Guangzhi Cao, Charles A. Bouman:
Sparse matrix transform for fast projection to reduced dimension. IGARSS 2010: 4362-4365 - [c18]James Theiler, Don R. Hush:
Statistics for characterizing data on the periphery. IGARSS 2010: 4764-4767 - [c17]Neal R. Harvey
Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms. Visual Information Processing 2010: 770102
2000 – 2009
- 2009
- [b1]Mark Galassi, Jim Davies, James Theiler, Brian Gough, Gerard Jungman:
GNU Scientific Library - Reference Manual, Third Edition, for GSL Version 1.12. Network Theory Ltd 2009, ISBN 978-0-9546120-7-8, pp. 1-573 - [c16]James Theiler, Clint Scovel:
Uncorrelated versus independent elliptically-contoured distributions for anomalous change detection in hyperspectral imagery. Computational Imaging 2009: 72460 - [c15]Reid B. Porter, Neal R. Harvey
A change detection approach to moving object detection in low fame-rate video. Visual Information Processing 2009: 73410 - [c14]Lakshman Prasad
A structural framework for anomalous change detection and characterization. Visual Information Processing 2009: 73410 - [c13]Guangzhi Cao, Charles A. Bouman, James Theiler:
Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation. WHISPERS 2009: 1-4 - [c12]Brendt Wohlberg
Improved change detection with local co-registration adjustments. WHISPERS 2009: 1-4 - 2008
- [j15]James Thurmond
Web-based design and evaluation of T-cell vaccine candidates. Bioinform. 24(14): 1639-1640 (2008) - [c11]James Theiler, Steven M. Adler-Golden:
Detection of ephemeral changes in sequences of images. AIPR 2008: 1-8 - [c10]James Theiler, Bernard R. Foy
EC-GLRT: Detecting Weak Plumes in Non-Gaussian Hyperspectral Clutter Using an Elliptically-Contoured Generalized Likelihood Ratio Test. IGARSS (1) 2008: 221-224 - 2007
- [j14]D. Michael Cai, Maya B. Gokhale, James Theiler:
Comparison of feature selection and classification algorithms in identifying malicious executables. Comput. Stat. Data Anal. 51(6): 3156-3172 (2007) - 2006
- [j13]James Theiler, Bernard R. Foy
Effect of signal contamination in matched-filter detection of the signal on a cluttered background. IEEE Geosci. Remote. Sens. Lett. 3(1): 98-102 (2006) - [j12]Richard Kuehnel, James Theiler, Yuke Wang:
Parallel random number generators for sequences uniformly distributed over any range of integers. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(7): 1496-1505 (2006) - [c9]Murat Dundar, James Theiler, Simon Perkins:
Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier. IGARSS 2006: 364-367 - 2005
- [j11]Amy E. Galbraith, James Theiler, Kurtis J. Thome, Richard W. Ziolkowski
Resolution Enhancement of Multilook Imagery for the Multispectral Thermal Imager. IEEE Trans. Geosci. Remote. Sens. 43(9): 1964-1977 (2005) - [c8]Dongming Cai, James Theiler, Maya B. Gokhale:
Detecting a malicious executable without prior knowledge of its patterns. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 1-12 - [c7]Karen A. Glocer, Damian Eads, James Theiler:
Online feature selection for pixel classification. ICML 2005: 249-256 - 2004
- [j10]Garrett T. Kenyon, James Theiler, John S. George, Bryan J. Travis, David W. Marshak:
Correlated Firing Improves Stimulus Discrimination in a Retinal Model. Neural Comput. 16(11): 2261-2291 (2004) - [j9]Garrett T. Kenyon, Dan Hill, James Theiler, John S. George, David W. Marshak:
A theory of the Benham Top based on center-surround interactions in the parvocellular pathway. Neural Networks 17(5-6): 773-786 (2004) - [j8]Junshui Ma, James Theiler, Simon Perkins:
Two realizations of a general feature extraction framework. Pattern Recognit. 37(5): 875-887 (2004) - [j7]Garrett T. Kenyon, Bryan J. Travis, James Theiler, John S. George, Greg J. Stephens, David W. Marshak:
Stimulus-specific oscillations in a retinal model. IEEE Trans. Neural Networks 15(5): 1083-1091 (2004) - [c6]James Theiler, Neal R. Harvey, Nancy A. David, John M. Irvine:
Approach to Target Detection based on Relevant Metric for Scoring Performance. AIPR 2004: 184-189 - 2003
- [j6]Reid B. Porter, Neal R. Harvey, Simon Perkins, James Theiler, Steven P. Brumby, Jeffrey J. Bloch, Maya B. Gokhale, John J. Szymanski:
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification. J. Math. Imaging Vis. 19(2): 133-150 (2003) - [j5]Simon Perkins, Kevin Lacker, James Theiler:
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space. J. Mach. Learn. Res. 3: 1333-1356 (2003) - [j4]Junshui Ma, James Theiler, Simon Perkins:
Accurate On-line Support Vector Regression. Neural Comput. 15(11): 2683-2703 (2003) - [j3]Maya B. Gokhale, Janette Frigo, Kevin McCabe, James Theiler, Christophe Wolinski, Dominique Lavenier:
Experience with a Hybrid Processor: K-Means Clustering. J. Supercomput. 26(2): 131-148 (2003) - [c5]Simon Perkins, James Theiler:
Online Feature Selection using Grafting. ICML 2003: 592-599 - [c4]Reid B. Porter, Damian Eads, Don R. Hush, James Theiler:
Weighted Order Statistic Classifiers with Large Rank-Order Margin. ICML 2003: 600-607 - 2002
- [j2]Neal R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, John J. Szymanski, Jeffrey J. Bloch, Reid B. Porter, Mark Galassi, A. Cody Young:
Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. IEEE Trans. Geosci. Remote. Sens. 40(2): 393-404 (2002) - [c3]Junshui Ma, Simon Perkins, James Theiler, Stanley C. Ahalt:
Modified Kernel-based Nonlinear Feature Extraction. ICMLA 2002: 127-132 - 2001
- [j1]Christopher C. Funk, James Theiler, Dar A. Roberts, Christoph C. Borel:
Clustering to improve matched filter detection of weak gas plumes in hyperspectral thermal imagery. IEEE Trans. Geosci. Remote. Sens. 39(7): 1410-1420 (2001) - [c2]Mike Estlick, Miriam Leeser, James Theiler, John J. Szymanski:
Algorithmic transformations in the implementation of K- means clustering on reconfigurable hardware. FPGA 2001: 103-110 - 2000
- [c1]Neal R. Harvey, Simon Perkins, Steven P. Brumby, James Theiler, Reid B. Porter, A. Cody Young, Anil K. Varghese, John J. Szymanski, Jeffrey J. Bloch:
Finding Golf Courses: The Ultra High Tech Approach. EvoWorkshops 2000: 54-64
Coauthor Index
Amanda Ziemann
aka: Amanda K. Ziemann
aka: Amanda K. Ziemann
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