James Theiler

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 25

Top Topics

Background Estimation

Target Detection

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Stefania Matteoli, James Theiler
Bayesian Target Detection Algorithms for Solid Subpixel Targets in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
James Theiler
Bayesian vs Generalized Likelihood Ratio Detection of Solid Sub-Pixel Targets. IGARSS (2023)
Stefania Matteoli, James Theiler
Closed-Form Non-Parametric Admissible Detector for Solid Sub-Pixel Targets. IGARSS (2023)
Youzuo Lin, James Theiler, Brendt Wohlberg
Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion. IEEE Signal Process. Mag. 40 (1) (2023)
Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg
Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
James Theiler
Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
James Theiler, Stefania Matteoli, Amanda Ziemann
Bayesian Detection of Solid Subpixel Targets. IGARSS (2021)
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)
Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg
Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation. CoRR (2020)
Elena C. Reinisch, James Theiler, Amanda Ziemann
Identifying forest thinning using anomalous change detection on synthetic aperture radar data. SSIAI (2020)
James Theiler, Alan P. Schaum
Some Closed-Form Expressions for Absorptive Plume Detection. IGARSS (2020)
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)
Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux
Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets. CoRR (2020)
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)
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 (2019)
James Theiler, G. Beate Zimmer, Amanda Ziemann
Closed-form detector for solid sub-pixel targets in multivariate t-distributed background clutter. CoRR (2018)
James Theiler, Guen Grosklos
Corrections to "Problematic Projection to the In-Sample Subspace for a Kernelized Anomaly Detector". IEEE Geosci. Remote. Sens. Lett. 15 (2) (2018)
James Theiler, Beate G. Zimmer, Amanda Ziemann
Closed-Form Detector for Solid Sub-Pixel Targets in Multivariate T-Distributed Background Clutter. IGARSS (2018)
James Theiler, Beate G. Zimmer
Selecting the selector: Comparison of update rules for discrete global optimization. Stat. Anal. Data Min. 10 (4) (2017)
Amanda Ziemann, James Theiler
Variable target detection using Simplex ACE. IGARSS (2017)
James Theiler, Amanda Ziemann
Segmented regression for spatio-spectral background estimation. IGARSS (2017)
James Theiler, Guen Grosklos
Problematic Projection to the In-Sample Subspace for a Kernelized Anomaly Detector. IEEE Geosci. Remote. Sens. Lett. 13 (4) (2016)
James Theiler
Generic target response as a measure of regression accuracy in multispectral background estimation. SSIAI (2016)
James Theiler, Amanda K. Ziemann
Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection. Computational Imaging (2016)
James Theiler, Guen Grosklos
Cracks in KRX: When more distant points are less anomalous. WHISPERS (2016)
Amanda K. Ziemann, James Theiler, David W. Messinger
Hyperspectral target detection using manifold learning and multiple target spectra. AIPR (2015)
Stefania Matteoli, Marco Diani, James Theiler
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) (2014)
James Theiler
Matched-Pair Machine Learning. Technometrics 55 (4) (2013)
James Theiler, Brendt Wohlberg
Regression framework for background estimation in remote sensing imagery. WHISPERS (2013)
James Theiler
Spatio-spectral anomalous change detection in hyperspectral imagery. GlobalSIP (2013)
Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram
Algorithms for Multispectral and Hyperspectral Image Analysis. J. Electr. Comput. Eng. 2013 (2013)
Reid B. Porter, James Theiler, Don R. Hush
Interactive Machine Learning in Data Exploitation. Comput. Sci. Eng. 15 (5) (2013)
James Theiler, Brendt Wohlberg
Detection of spectrally sparse anomalies in hyperspectral imagery. SSIAI (2012)
James Theiler, Brendt Wohlberg
Local Coregistration Adjustment for Anomalous Change Detection. IEEE Trans. Geosci. Remote. Sens. 50 (8) (2012)
Brendt Wohlberg, Rick Chartrand, James Theiler
Local principal component pursuit for nonlinear datasets. ICASSP (2012)
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) (2011)
James Theiler
Ellipsoid-simplex hybrid for hyperspectral anomaly detection. WHISPERS (2011)
Leonardo R. Bachega, James Theiler, Charles A. Bouman
Evaluating and improving local hyperspectral anomaly detectors. AIPR (2011)
Brendt Wohlberg, James Theiler
Symmetrized local co-registration optimization for anomalous change detection. Computational Imaging (2010)
Clint Scovel, Don R. Hush, Ingo Steinwart, James Theiler
Radial kernels and their reproducing kernel Hilbert spaces. J. Complex. 26 (6) (2010)
Ingo Steinwart, James Theiler, Daniel Llamocca
Using support vector machines for anomalous change detection. IGARSS (2010)
James Theiler, Guangzhi Cao, Charles A. Bouman
Sparse matrix transform for fast projection to reduced dimension. IGARSS (2010)
James Theiler, Don R. Hush
Statistics for characterizing data on the periphery. IGARSS (2010)
Anna Matsekh, James Theiler
Block-diagonal representations for covariance-based Anomalous change detectors. IGARSS (2010)
Neal R. Harvey, Reid B. Porter, James Theiler
Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms. Visual Information Processing (2010)
James Theiler, Clint Scovel, Brendt Wohlberg, Bernard R. Foy
Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 7 (2) (2010)
James Theiler, Clint Scovel
Uncorrelated versus independent elliptically-contoured distributions for anomalous change detection in hyperspectral imagery. Computational Imaging (2009)
Brendt Wohlberg, James Theiler
Improved change detection with local co-registration adjustments. WHISPERS (2009)
Reid B. Porter, Neal R. Harvey, James Theiler
A change detection approach to moving object detection in low fame-rate video. Visual Information Processing (2009)
Lakshman Prasad, James Theiler
A structural framework for anomalous change detection and characterization. Visual Information Processing (2009)
Guangzhi Cao, Charles A. Bouman, James Theiler
Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation. WHISPERS (2009)
James Thurmond, Hyejin Yoon, Carla Kuiken, Karina Yusim, Simon Perkins, James Theiler, Tanmoy Bhattacharya, Bette T. Korber, Will Fischer
Web-based design and evaluation of T-cell vaccine candidates. Bioinform. 24 (14) (2008)
James Theiler, Steven M. Adler-Golden
Detection of ephemeral changes in sequences of images. AIPR (2008)
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)
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) (2007)
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. (7) (2006)
Murat Dundar, James Theiler, Simon Perkins
Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier. IGARSS (2006)
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) (2006)
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)
Karen A. Glocer, Damian Eads, James Theiler
Online feature selection for pixel classification. ICML (2005)
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) (2005)
James Theiler, Neal R. Harvey, Nancy A. David, John M. Irvine
Approach to Target Detection based on Relevant Metric for Scoring Performance. AIPR (2004)
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) (2004)
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) (2004)
Junshui Ma, James Theiler, Simon Perkins
Two realizations of a general feature extraction framework. Pattern Recognit. 37 (5) (2004)
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) (2004)
Simon Perkins, Kevin Lacker, James Theiler
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space. J. Mach. Learn. Res. 3 (2003)
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) (2003)
Simon Perkins, James Theiler
Online Feature Selection using Grafting. ICML (2003)
Reid B. Porter, Damian Eads, Don R. Hush, James Theiler
Weighted Order Statistic Classifiers with Large Rank-Order Margin. ICML (2003)
Junshui Ma, James Theiler, Simon Perkins
Accurate On-line Support Vector Regression. Neural Comput. 15 (11) (2003)
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) (2003)
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) (2002)
Junshui Ma, Simon Perkins, James Theiler, Stanley C. Ahalt
Modified Kernel-based Nonlinear Feature Extraction. ICMLA (2002)
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) (2001)
Mike Estlick, Miriam Leeser, James Theiler, John J. Szymanski
Algorithmic transformations in the implementation of K- means clustering on reconfigurable hardware. FPGA (2001)
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)