James Theiler - RankMe

80 papers A* 3A 1B 1C 13Misc 1Journal 35Unranked 25

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Physics and Deep Learning in Computational Wave Imaging. CoRR Youzuo Lin, Shihang Feng, James Theiler, Yinpeng Chen, Umberto Villa, Jing Rao, John James Greenhall, Cristian Pantea, Mark A. Anastasio, Brendt Wohlberg
2023	J	`jnl`	Bayesian Target Detection Algorithms for Solid Subpixel Targets in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Stefania Matteoli, James Theiler
2023	C	`conf`	Bayesian vs Generalized Likelihood Ratio Detection of Solid Sub-Pixel Targets. IGARSS James Theiler
2023	C	`conf`	Closed-Form Non-Parametric Admissible Detector for Solid Sub-Pixel Targets. IGARSS Stefania Matteoli, James Theiler
2023	J	`jnl`	Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion. IEEE Signal Process. Mag. Youzuo Lin, James Theiler, Brendt Wohlberg
2022	J	`jnl`	Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation. IEEE Geosci. Remote. Sens. Lett. Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg
2021	J	`jnl`	Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. James Theiler
2021	C	`conf`	Bayesian Detection of Solid Subpixel Targets. IGARSS James Theiler, Stefania Matteoli, Amanda Ziemann
2020	—	`conf`	Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery. SSIAI Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux
2020	—	`conf`	Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging. SSIAI Youzuo Lin, James Theiler, Brendt Wohlberg, Yue Wu, Zhongping Zhang
2020	J	`jnl`	Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets. CoRR Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux
2020	—	`conf`	Identifying forest thinning using anomalous change detection on synthetic aperture radar data. SSIAI Elena C. Reinisch, James Theiler, Amanda Ziemann
2020	—	`conf`	On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict. SSIAI Christopher X. Ren, Matthew T. Calef, Alice M. S. Durieux, Amanda Ziemann, James Theiler
2020	J	`jnl`	Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation. CoRR Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg
2020	C	`conf`	Some Closed-Form Expressions for Absorptive Plume Detection. IGARSS James Theiler, Alan P. Schaum
2019	J	`jnl`	Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery. CoRR Christopher X. Ren, Amanda Ziemann, Alice M. S. Durieux, James Theiler
2018	C	`conf`	Closed-Form Detector for Solid Sub-Pixel Targets in Multivariate T-Distributed Background Clutter. IGARSS James Theiler, Beate G. Zimmer, Amanda Ziemann
2018	J	`jnl`	Closed-form detector for solid sub-pixel targets in multivariate t-distributed background clutter. CoRR James Theiler, G. Beate Zimmer, Amanda Ziemann
2018	J	`jnl`	Corrections to "Problematic Projection to the In-Sample Subspace for a Kernelized Anomaly Detector". IEEE Geosci. Remote. Sens. Lett. James Theiler, Guen Grosklos
2017	C	`conf`	Segmented regression for spatio-spectral background estimation. IGARSS James Theiler, Amanda Ziemann
2017	J	`jnl`	Selecting the selector: Comparison of update rules for discrete global optimization. Stat. Anal. Data Min. James Theiler, Beate G. Zimmer
2017	C	`conf`	Variable target detection using Simplex ACE. IGARSS Amanda Ziemann, James Theiler
2016	—	`conf`	Cracks in KRX: When more distant points are less anomalous. WHISPERS James Theiler, Guen Grosklos
2016	—	`conf`	Generic target response as a measure of regression accuracy in multispectral background estimation. SSIAI James Theiler
2016	J	`jnl`	Problematic Projection to the In-Sample Subspace for a Kernelized Anomaly Detector. IEEE Geosci. Remote. Sens. Lett. James Theiler, Guen Grosklos
2016	—	`conf`	Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection. Computational Imaging James Theiler, Amanda K. Ziemann
2015	—	`conf`	Hyperspectral target detection using manifold learning and multiple target spectra. AIPR Amanda K. Ziemann, James Theiler, David W. Messinger
2014	J	`jnl`	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. Stefania Matteoli, Marco Diani, James Theiler
2013	J	`jnl`	Algorithms for Multispectral and Hyperspectral Image Analysis. J. Electr. Comput. Eng. Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram
2013	J	`jnl`	Interactive Machine Learning in Data Exploitation. Comput. Sci. Eng. Reid B. Porter, James Theiler, Don R. Hush
2013	J	`jnl`	Matched-Pair Machine Learning. Technometrics James Theiler
2013	—	`conf`	Regression framework for background estimation in remote sensing imagery. WHISPERS James Theiler, Brendt Wohlberg
2013	—	`conf`	Spatio-spectral anomalous change detection in hyperspectral imagery. GlobalSIP James Theiler
2012	—	`conf`	Detection of spectrally sparse anomalies in hyperspectral imagery. SSIAI James Theiler, Brendt Wohlberg
2012	J	`jnl`	Local Coregistration Adjustment for Anomalous Change Detection. IEEE Trans. Geosci. Remote. Sens. James Theiler, Brendt Wohlberg
2012	Misc	`conf`	Local principal component pursuit for nonlinear datasets. ICASSP Brendt Wohlberg, Rick Chartrand, James Theiler
2011	—	`conf`	Ellipsoid-simplex hybrid for hyperspectral anomaly detection. WHISPERS James Theiler
2011	—	`conf`	Evaluating and improving local hyperspectral anomaly detectors. AIPR Leonardo R. Bachega, James Theiler, Charles A. Bouman
2011	J	`jnl`	Sparse Matrix Transform for Hyperspectral Image Processing. IEEE J. Sel. Top. Signal Process. James Theiler, Guangzhi Cao, Leonardo R. Bachega, Charles A. Bouman
2010	C	`conf`	Block-diagonal representations for covariance-based Anomalous change detectors. IGARSS Anna Matsekh, James Theiler
2010	J	`jnl`	Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. James Theiler, Clint Scovel, Brendt Wohlberg, Bernard R. Foy
2010	J	`jnl`	Radial kernels and their reproducing kernel Hilbert spaces. J. Complex. Clint Scovel, Don R. Hush, Ingo Steinwart, James Theiler
2010	—	`conf`	Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms. Visual Information Processing Neal R. Harvey, Reid B. Porter, James Theiler
2010	C	`conf`	Sparse matrix transform for fast projection to reduced dimension. IGARSS James Theiler, Guangzhi Cao, Charles A. Bouman
2010	C	`conf`	Statistics for characterizing data on the periphery. IGARSS James Theiler, Don R. Hush
2010	—	`conf`	Symmetrized local co-registration optimization for anomalous change detection. Computational Imaging Brendt Wohlberg, James Theiler
2010	C	`conf`	Using support vector machines for anomalous change detection. IGARSS Ingo Steinwart, James Theiler, Daniel Llamocca
2009	—	`conf`	A change detection approach to moving object detection in low fame-rate video. Visual Information Processing Reid B. Porter, Neal R. Harvey, James Theiler
2009	—	`conf`	A structural framework for anomalous change detection and characterization. Visual Information Processing Lakshman Prasad, James Theiler
2009	—	`book`	GNU Scientific Library - Reference Manual, Third Edition, for GSL Version 1.12. Mark Galassi, Jim Davies, James Theiler, Brian Gough, Gerard Jungman
2009	—	`conf`	Improved change detection with local co-registration adjustments. WHISPERS Brendt Wohlberg, James Theiler
2009	—	`conf`	Uncorrelated versus independent elliptically-contoured distributions for anomalous change detection in hyperspectral imagery. Computational Imaging James Theiler, Clint Scovel
2009	—	`conf`	Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation. WHISPERS Guangzhi Cao, Charles A. Bouman, James Theiler
2008	—	`conf`	Detection of ephemeral changes in sequences of images. AIPR James Theiler, Steven M. Adler-Golden
2008	—	`conf`	EC-GLRT: Detecting Weak Plumes in Non-Gaussian Hyperspectral Clutter Using an Elliptically-Contoured Generalized Likelihood Ratio Test. IGARSS (1) James Theiler, Bernard R. Foy
2008	J	`jnl`	Web-based design and evaluation of T-cell vaccine candidates. Bioinform. James Thurmond, Hyejin Yoon, Carla Kuiken, Karina Yusim, Simon Perkins, James Theiler, Tanmoy Bhattacharya, Bette T. Korber, Will Fischer
2007	J	`jnl`	Comparison of feature selection and classification algorithms in identifying malicious executables. Comput. Stat. Data Anal. D. Michael Cai, Maya B. Gokhale, James Theiler
2006	J	`jnl`	Effect of signal contamination in matched-filter detection of the signal on a cluttered background. IEEE Geosci. Remote. Sens. Lett. James Theiler, Bernard R. Foy
2006	C	`conf`	Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier. IGARSS Murat Dundar, James Theiler, Simon Perkins
2006	J	`jnl`	Parallel random number generators for sequences uniformly distributed over any range of integers. IEEE Trans. Circuits Syst. I Regul. Pap. Richard Kuehnel, James Theiler, Yuke Wang
2005	—	`conf`	Detecting a malicious executable without prior knowledge of its patterns. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security Dongming Cai, James Theiler, Maya B. Gokhale
2005	A*	`conf`	Online feature selection for pixel classification. ICML Karen A. Glocer, Damian Eads, James Theiler
2005	J	`jnl`	Resolution Enhancement of Multilook Imagery for the Multispectral Thermal Imager. IEEE Trans. Geosci. Remote. Sens. Amy E. Galbraith, James Theiler, Kurtis J. Thome, Richard W. Ziolkowski
2004	J	`jnl`	A theory of the Benham Top based on center-surround interactions in the parvocellular pathway. Neural Networks Garrett T. Kenyon, Dan Hill, James Theiler, John S. George, David W. Marshak
2004	—	`conf`	Approach to Target Detection based on Relevant Metric for Scoring Performance. AIPR James Theiler, Neal R. Harvey, Nancy A. David, John M. Irvine
2004	J	`jnl`	Correlated Firing Improves Stimulus Discrimination in a Retinal Model. Neural Comput. Garrett T. Kenyon, James Theiler, John S. George, Bryan J. Travis, David W. Marshak
2004	J	`jnl`	Stimulus-specific oscillations in a retinal model. IEEE Trans. Neural Networks Garrett T. Kenyon, Bryan J. Travis, James Theiler, John S. George, Greg J. Stephens, David W. Marshak
2004	J	`jnl`	Two realizations of a general feature extraction framework. Pattern Recognit. Junshui Ma, James Theiler, Simon Perkins
2003	J	`jnl`	Accurate On-line Support Vector Regression. Neural Comput. Junshui Ma, James Theiler, Simon Perkins
2003	J	`jnl`	Experience with a Hybrid Processor: K-Means Clustering. J. Supercomput. Maya B. Gokhale, Janette Frigo, Kevin McCabe, James Theiler, Christophe Wolinski, Dominique Lavenier
2003	B	`conf`	Firing correlations improve detection of moving bars. IJCNN Garrett T. Kenyon, James Theiler, David W. Marshak, Bartlett Moore, Janelle Jeffs, Bryan J. Travis
2003	J	`jnl`	Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space. J. Mach. Learn. Res. Simon Perkins, Kevin Lacker, James Theiler
2003	A*	`conf`	Online Feature Selection using Grafting. ICML Simon Perkins, James Theiler
2003	J	`jnl`	Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification. J. Math. Imaging Vis. Reid B. Porter, Neal R. Harvey, Simon Perkins, James Theiler, Steven P. Brumby, Jeffrey J. Bloch, Maya B. Gokhale, John J. Szymanski
2003	A*	`conf`	Weighted Order Statistic Classifiers with Large Rank-Order Margin. ICML Reid B. Porter, Damian Eads, Don R. Hush, James Theiler
2002	J	`jnl`	Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. IEEE Trans. Geosci. Remote. Sens. Neal R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, John J. Szymanski, Jeffrey J. Bloch, Reid B. Porter, Mark Galassi, A. Cody Young
2002	C	`conf`	Modified Kernel-based Nonlinear Feature Extraction. ICMLA Junshui Ma, Simon Perkins, James Theiler, Stanley C. Ahalt
2001	A	`conf`	Algorithmic transformations in the implementation of K- means clustering on reconfigurable hardware. FPGA Mike Estlick, Miriam Leeser, James Theiler, John J. Szymanski
2001	J	`jnl`	Clustering to improve matched filter detection of weak gas plumes in hyperspectral thermal imagery. IEEE Trans. Geosci. Remote. Sens. Christopher C. Funk, James Theiler, Dar A. Roberts, Christoph C. Borel
2000	—	`conf`	Finding Golf Courses: The Ultra High Tech Approach. EvoWorkshops 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