James Theiler

发表

Statistics for characterizing data on the periphery

Don R. Hush, James Theiler, D. Hush, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

A few brief notes on the equivalence of two expressions for statistical significance in point source detections

James Theiler, 2020 .

Deep snow: synthesizing remote sensing imagery with generative adversarial nets

James Theiler, Christopher X. Ren, Amanda Ziemann, 2020, Defense + Commercial Sensing.

Decision boundaries in two dimensions for target detection in hyperspectral imagery.

James Theiler, Bernard R Foy, Andrew M Fraser, 2009, Optics express.

Resolution enhancement of multilook imagery for the multispectral thermal imager

James Theiler, Richard W. Ziolkowski, Kurtis J. Thome, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Epigraph: A Vaccine Design Tool Applied to an HIV Therapeutic Vaccine and a Pan-Filovirus Vaccine

James Theiler, Hyejin Yoon, Karina Yusim, 2016, Scientific Reports.

MTI ground data processing and science retrieval pipeline architecture

James Theiler, P. G. Weber, Anthony B. Davis, 1999, Optics & Photonics.

A change detection approach to moving object detection in low fame-rate video

Neal R. Harvey, James Theiler, Reid B. Porter, 2009, Defense + Commercial Sensing.

Model and measurements of linear mixing in thermal IR ground leaving radiance spectra

James Theiler, Matthew F. McCabe, Alan R. Gillespie, 2007, SPIE Remote Sensing.

Background estimation in multispectral imagery

James Theiler, Amanda Ziemann, J. Theiler, 2019, Optical Sensors and Sensing Congress (ES, FTS, HISE, Sensors).

Edge detection in grayscale imagery using machine learning

James Theiler, K. A. Glocer, S. J. Perkins, 2004 .

Variable target detection using Simplex ACE

James Theiler, Amanda Ziemann, J. Theiler, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Corrections to "Problematic Projection to the In-Sample Subspace for a Kernelized Anomaly Detector"

James Theiler, Guen Grosklos, 2018, IEEE Geosci. Remote. Sens. Lett..

Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms

Neal R. Harvey, James Theiler, Reid B. Porter, 2010, Defense + Commercial Sensing.

Algorithms using interband cross correlation for pixel registration and jitter reconstruction in multichannel push broom imagers

James Theiler, Barham W. Smith, Bradley G. Henderson, 1997, Optics & Photonics.

Subpixel temperature retrieval with multispectral sensors

James Theiler, John J. Szymanski, Christoph C. Borel, 1999, Defense, Security, and Sensing.

Accurate On-line Support Vector Regression

James Theiler, Junshui Ma, Simon Perkins, 2003, Neural Computation.

Detecting a malicious executable without prior knowledge of its patterns

Maya Gokhale, James Theiler, Dongming Cai, 2005, SPIE Defense + Commercial Sensing.

Co-design of software and hardware to implement remote sensing algorithms

Maya Gokhale, James Theiler, John J. Szymanski, 2002, SPIE Optics + Photonics.

Learning targeted materials properties from data

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2016 .

Design issues for hardware implementation of an algorithm for segmenting hyperspectral imagery

James Theiler, Miriam Leeser, John J. Szymanski, 2000, SPIE Optics + Photonics.

Overlapping image segmentation for context-dependent anomaly detection

James Theiler, Lakshman Prasad, 2011, Defense + Commercial Sensing.

Applying reconfigurable hardware to the analysis of multispectral and hyperspectral imagery

Maya Gokhale, Pavle Belanovic, James Theiler, 2002, SPIE Optics + Photonics.

Confusion and clairvoyance: some remarks on the composite hypothesis testing problem

James Theiler, J. Theiler, 2012, Defense + Commercial Sensing.

MTI core science retrieval algorithms

James Theiler, P. G. Weber, Anthony B. Davis, 1999, Optics & Photonics.

Investigation of automated feature extraction using multiple data sources

Neal R. Harvey, James Theiler, Paul A. Pope, 2003, SPIE Defense + Commercial Sensing.

Testing for nonlinearity in time series: the method of surrogate data

James Theiler, André Longtin, J. Doyne Farmer, 1992 .

GENIE: a hybrid genetic algorithm for feature classification in multispectral images

Neal R. Harvey, James Theiler, Simon J. Perkins, 2000, SPIE Optics + Photonics.

Beyond the adaptive matched filter: nonlinear detectors for weak signals in high-dimensional clutter

James Theiler, Andrew M. Fraser, Bernard R. Foy, 2007, SPIE Defense + Commercial Sensing.

Weighted Order Statistic Classifiers with Large Rank-Order Margin

Don R. Hush, James Theiler, Reid B. Porter, 2003, ICML.

Ellipsoid-simplex hybrid for hyperspectral anomaly detection

James Theiler, J. Theiler, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Selecting the selector: Comparison of update rules for discrete global optimization

James Theiler, G. Beate Zimmer, J. Theiler, 2017, Stat. Anal. Data Min..

Sparse linear filters for detection and classification in hyperspectral imagery

James Theiler, Karen Glocer, J. Theiler, 2006, SPIE Defense + Commercial Sensing.

Sparse matrix transform for fast projection to reduced dimension

Charles A. Bouman, Guangzhi Cao, James Theiler, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Ellipsoids for anomaly detection in remote sensing imagery

James Theiler, Guenchik Grosklos, J. Theiler, 2015, Defense + Security Symposium.

Machine Learning for Background Estimation in Multispectral Imagery

James Theiler, 2018 .

Adaptive Strategies for Materials Design using Uncertainties

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2016, Scientific Reports.

Photogrammetric image registration (PIR) of MTI imagery

James Theiler, Paul A. Pope, 2003, SPIE Optics + Photonics.

Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery

James Theiler, Brendt Wohlberg, Clint Scovel, 2010, IEEE Geoscience and Remote Sensing Letters.

Image Processing: Multispectral and Hyperspectral, Spectral Analysis

James Theiler, William B. Clodius, Christopher M. Brislawn, 2015 .

Generic target response as a measure of regression accuracy in multispectral background estimation

James Theiler, J. Theiler, 2016, 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).

Generalized likelihood ratio test detector for a modified replacement model target in a multivariate t-distributed background

James Theiler, 2020 .

Experiments in anomalous change detection with the Viareggio 2013 trial dataset

James Theiler, Amanda Ziemann, Michal Kucer, 2020, Defense + Commercial Sensing.

Geometrical constraint on shadowing in rough surfaces

James Theiler, Bradley G. Henderson, 1997, Optics & Photonics.

Scene analysis and detection in thermal infrared remote sensing using independent component analysis

James Theiler, Bernard R. Foy, 2004, SPIE Defense + Commercial Sensing.

Detection of ephemeral changes in sequences of images

James Theiler, Steven M. Adler-Golden, S. Adler-Golden, 2008, 2008 37th IEEE Applied Imagery Pattern Recognition Workshop.

Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space

James Theiler, Kevin Lacker, Simon Perkins, 2003, J. Mach. Learn. Res..

James Theiler, Garrett T. Kenyon, John S. George, 2004, Neural Computation.

Total least squares for anomalous change detection

James Theiler, Anna M. Matsekh, 2010, Defense + Commercial Sensing.

EC-GLRT: Detecting Weak Plumes in Non-Gaussian Hyperspectral Clutter Using an Elliptically-Contoured Generalized Likelihood Ratio Test

James Theiler, Bernard R. Foy, J. Theiler, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Compressed sensing techniques for detecting damage in structures

Charles R. Farrar, James Theiler, David Mascareñas, 2013 .

Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation pdf

James Theiler, Brendt Wohlberg, Youzuo Lin, 2020, ArXiv.

Simplex ACE: a constrained subspace detector

James Theiler, Amanda Ziemann, J. Theiler, 2017 .

Algorithms for Multispectral and Hyperspectral Image Analysis

Heesung Kwon, Prudhvi Gurram, James Theiler, 2013, J. Electr. Comput. Eng..

Improved matched-filter detection techniques

James Theiler, William B. Clodius, Pierre V. Villeneuve, 1999, Optics & Photonics.

A structural framework for anomalous change detection and characterization

James Theiler, Lakshman Prasad, 2009, Defense + Commercial Sensing.

Combining multispectral imagery and synthetic aperture radar for detecting deforestation

James Theiler, Amanda Ziemann, Elena C. Reinisch, 2020, Defense + Commercial Sensing.

Formulation for min-max clairvoyant fusion based on monotonic recalibration of statistics

James Theiler, 2012 .

Interactive Machine Learning in Data Exploitation

Don R. Hush, James Theiler, Reid B. Porter, 2013, Computing in Science & Engineering.

Comparing robust and physics-based sea surface temperature retrievals for high-resolution multispectral thermal sensors using one or multiple looks

James Theiler, William B. Clodius, John J. Szymanski, 1999, Defense, Security, and Sensing.

Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection

James Theiler, Amanda Ziemann, J. Theiler, 2016, Computational Imaging.

A Robust Local Linear Data Decomposition

James Theiler, Brendt Wohlberg, Rick Chartrand, 2011 .

Parallel evolution of image processing tools for multispectral imagery

Neal R. Harvey, James Theiler, Simon J. Perkins, 2000, SPIE Optics + Photonics.

GNU Scientific Library - Reference Manual, Third Edition, for GSL Version 1.12

Jim Davies, James Theiler, Gerard Jungman, 2009 .

GENETIC PROGRAMMING APPROACH TO EXTRACTING FEATURES FROM REMOTELY SENSED IMAGERY

Neal R. Harvey, James Theiler, Simon J. Perkins, 2001 .

Graph‐based optimization of epitope coverage for vaccine antigen design

James Theiler, Bette Korber, J. Theiler, 2017, Statistics in medicine.

Multi-sensor anomalous change detection at scale

James Theiler, Amanda Ziemann, C. X. Ren, 2019, Defense + Commercial Sensing.

LANL experience with coregistration of MTI imagery

James Theiler, Amy E. Galbraith, Paul A. Pope, 2004, SPIE Optics + Photonics.

Spatio-spectral anomalous change detection in hyperspectral imagery

James Theiler, J. Theiler, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Decoupling sparse coding of SIFT descriptors for large-scale visual recognition

James Theiler, Zhengping Ji, Garrett T. Kenyon, 2013, Defense, Security, and Sensing.

A theory of the Benham Top based on center-surround interactions in the parvocellular pathway

James Theiler, Garrett T. Kenyon, John S. George, 2004, Neural Networks.

Online Feature Selection using Grafting

James Theiler, Simon Perkins, J. Theiler, 2003, ICML.

Online feature selection for pixel classification

James Theiler, Karen A. Glocer, Damian Eads, 2005, ICML.

Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging

Yue Wu, James Theiler, Brendt Wohlberg, 2020, 2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).

Focus-of-attention strategies for finding discrete objects in multispectral imagery

Neal R. Harvey, James Theiler, J. Theiler, 2004, SPIE Optics + Photonics.

Closed-Form Detector for Solid Sub-Pixel Targets in Multivariate T-Distributed Background Clutter

James Theiler, Amanda Ziemann, G. Beate Zimmer, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation

Charles A. Bouman, Guangzhi Cao, James Theiler, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Sparse Matrix Transform for Hyperspectral Image Processing

Charles A. Bouman, Guangzhi Cao, James Theiler, 2011, IEEE Journal of Selected Topics in Signal Processing.

Approach to target detection based on relevant metric for scoring performance

Neal R. Harvey, James Theiler, John M. Irvine, 2004, 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04).

Detection of unknown gas-phase chemical plumes in hyperspectral imagery

James Theiler, Brendt Wohlberg, 2013, Defense, Security, and Sensing.

Comparison of feature selection and classification algorithms in identifying malicious executables

Maya Gokhale, James Theiler, D. Michael Cai, 2007, Comput. Stat. Data Anal..

The incredible shrinking covariance estimator

James Theiler, J. Theiler, 2012, Defense + Commercial Sensing.

Automated image registration (AIR) of MTI imagery

James Theiler, Paul A. Pope, J. Theiler, 2003, SPIE Defense + Commercial Sensing.

Classification of ROTSE Variable Stars using Machine Learning

James Theiler, Katherine E. McGowan, Przemyslaw Remigiusz Wozniak, 2001 .

Stimulus-specific oscillations in a retinal model

Greg J. Stephens, James Theiler, Garrett T. Kenyon, 2004, IEEE Transactions on Neural Networks.

Two realizations of a general feature extraction framework

James Theiler, Junshui Ma, Simon Perkins, 2004, Pattern Recognit..

Feature extraction, anomaly, and change detection on WorldView-2 imagery by hierarchical image segmentation: a study

James Theiler, Lakshman Prasad, Sriram Swaminarayan, 2012, Defense + Commercial Sensing.

Evolving land cover classification algorithms for multispectral and multitemporal imagery

Neal R. Harvey, James Theiler, Simon J. Perkins, 2002, SPIE Optics + Photonics.

Algorithmic transformations in the implementation of K- means clustering on reconfigurable hardware

James Theiler, Miriam Leeser, John J. Szymanski, 2001, FPGA '01.

Web-based design and evaluation of T-cell vaccine candidates

James Theiler, Hyejin Yoon, Karina Yusim, 2008, Bioinform..

PARAMETERIZED K-MEANS CLUSTERING FOR RAPID HARDWARE DEVELOPMENT TO ACCELERATE ANALYSIS OF SATELLITE DATA

Maya Gokhale, James Theiler, Miriam Leeser, 2001 .

Experience with a Hybrid Processor: K-Means Clustering

Dominique Lavenier, Maya Gokhale, James Theiler, 2004, The Journal of Supercomputing.

Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier

Murat Dundar, James Theiler, Simon Perkins, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Los Alamos ISIS Suite

Neal R. Harvey, James Theiler, Simon Perkins, 2003 .

Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification

Maya Gokhale, Neal R. Harvey, James Theiler, 2003, Journal of Mathematical Imaging and Vision.

Subpixel temperature retrieval with multispectral sensors

James Theiler, John J. Szymanski, Christoph C. Borel, 1999, Remote Sensing.

Symmetrized regression for hyperspectral background estimation

James Theiler, J. Theiler, 2015, Defense + Security Symposium.

Resampling approach for anomaly detection in multispectral images

James Theiler, Dongming M. Cai, J. Theiler, 2003, SPIE Defense + Commercial Sensing.

Image Processing: Multispectral and Hyperspectral, Transforms, Classification, and Coding

Neal R. Harvey, James Theiler, William B. Clodius, 2015 .

Identifying forest thinning using anomalous change detection on synthetic aperture radar data

James Theiler, Amanda Ziemann, Elena C. Reinisch, 2020, 2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).

Multimodal approach to feature extraction for image and signal learning problems

Neal R. Harvey, James Theiler, Nancy A. David, 2004, SPIE Optics + Photonics.

Advanced processing for high-bandwidth sensor systems

Dominique Lavenier, Maya Gokhale, Melanie Mitchell, 2000, SPIE Optics + Photonics.

Matched-Pai Machine Learning.

James Theiler, 2013 .

Segmented regression for spatio-spectral background estimation

James Theiler, Amanda Ziemann, J. Theiler, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Block-diagonal representations for covariance-based Anomalous change detectors

James Theiler, Anna Matsekh, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Intensity masking to get high-resolution images from low-quality apertures

James Theiler, William C. Priedhorsky, J. Theiler, 1997, Optics & Photonics.

Symmetrized local co-registration optimization for anomalous change detection

James Theiler, Brendt Wohlberg, 2010, Electronic Imaging.

Proposed Framework for Anomalous Change Detection

James Theiler, Simon J. Perkins, J. Theiler, 2006 .

Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery

James Theiler, Christopher X. Ren, Amanda Ziemann, 2020, 2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).

Accelerated search for materials with targeted properties by adaptive design

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2016, Nature Communications.

Automated simultaneous multiple feature classification of MTI data

Neal R. Harvey, James Theiler, Mark Corrado Galassi, 2002, SPIE Defense + Commercial Sensing.

ALEXIS Spacecraft Attitude Reconstruction with Thermal/Flexible Motions Due to Launch Damage

Sean Ryan, Mark L. Psiaki, James Theiler, 1997 .

Reference-free detection of minute, non-visible, damage using full-field, high-resolution mode shapes output-only identified from digital videos of structures

Charles R. Farrar, James Theiler, Yongchao Yang, 2018 .

Simulation framework for spatio-spectral anomalous change detection

Neal R. Harvey, James Theiler, Brendt Wohlberg, 2009, Defense + Commercial Sensing.

Estimating fractal dimension

James Theiler, J. Theiler, 1990 .

Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction

Neal R. Harvey, James Theiler, Simon Perkins, 2002, IEEE Trans. Geosci. Remote. Sens..

Materials Prediction via Classification Learning

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2015, Scientific Reports.

Evaluating and improving local hyperspectral anomaly detectors

Charles A. Bouman, James Theiler, Leonardo R. Bachega, 2011, 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Sensitivity of anomalous change detection to small misregistration errors

James Theiler, J. Theiler, 2008, SPIE Defense + Commercial Sensing.

Genetic algorithm for combining new and existing image processing tools for multispectral imagery

Neal R. Harvey, James Theiler, Simon J. Perkins, 2000, SPIE Defense + Commercial Sensing.

Onboard CubeSat data processing for hyperspectral detection of chemical plumes

James Theiler, Steven P. Love, Bernard R. Foy, 2018, Defense + Security.

IUTAM Symposium and NATO Advanced Research Workshop on Interpretation of Time Series from Nonlinear Mechanical Systems Held in Coventry, England on 26-30 August 1991. Conference Abstracts

Hiroshi Sato, James Theiler, Leonard A. Smith, 1991 .

James Theiler, Clint Scovel, C. Scovel, 2009, Electronic Imaging.

Detection of spectrally sparse anomalies in hyperspectral imagery

James Theiler, Brendt Wohlberg, 2012, 2012 IEEE Southwest Symposium on Image Analysis and Interpretation.

High-performance signal and image processing for remote sensing using reconfigurable computers

M. Caffrey, James Theiler, Scott Robinson, 1999, Optics & Photonics.

An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery

Stefania Matteoli, Marco Diani, James Theiler, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Improved change detection with local co-registration adjustments

James Theiler, Brendt Wohlberg, B. Wohlberg, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

End-to-end performance modeling of passive remote sensing systems

James Theiler, P. G. Weber, William B. Clodius, 1996, Defense, Security, and Sensing.

Local Coregistration Adjustment for Anomalous Change Detection

James Theiler, Brendt Wohlberg, B. Wohlberg, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Regression framework for background estimation in remote sensing imagery

James Theiler, Brendt Wohlberg, B. Wohlberg, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Algorithm development with on-board and ground-based components for hyperspectral gas detection from small satellites

James Theiler, Steven P. Love, J. Theiler, 2019, Defense + Commercial Sensing.

Finding Golf Courses: The Ultra High Tech Approach

Neal R. Harvey, James Theiler, Simon Perkins, 2000, EvoWorkshops.

Graph-based and statistical approaches for detecting spectrally variable target materials

James Theiler, Amanda Ziemann, J. Theiler, 2016, SPIE Defense + Security.

Clustering to improve matched filter detection of weak gas plumes in hyperspectral thermal imagery

James Theiler, Dar A. Roberts, Christoph Borel-Donohue, 2001, IEEE Trans. Geosci. Remote. Sens..

Hyperspectral target detection using manifold learning and multiple target spectra

David W. Messinger, James Theiler, Amanda Ziemann, 2015, 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Detecting Nonlinearity in Data with Long Coherence Times

James Theiler, David M. Rubin, Paul S. Linsay, 1993, comp-gas/9302003.

Effect of signal contamination in matched-filter detection of the signal on a cluttered background

James Theiler, Bernard R. Foy, J. Theiler, 2006, IEEE Geoscience and Remote Sensing Letters.

Parallel random number generators for sequences uniformly distributed over any range of integers

James Theiler, Yuke Wang, Richard Kuehnel, 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

Image-quality degradation and retrieval errors introduced by registration and interpolation of multispectral digital images

James Theiler, Christoph C. Borel, Barham W. Smith, 1996, Defense, Security, and Sensing.

Toward interactive search in remote sensing imagery

Neal R. Harvey, James Theiler, Reid B. Porter, 2010, Defense + Commercial Sensing.

Matched-Pair Machine Learning

James Theiler, J. Theiler, 2013, Technometrics.

Local background estimation and the replacement target model

James Theiler, Amanda Ziemann, J. Theiler, 2017, Defense + Security.

A machine learning approach to hyperspectral detection of solid targets

James Theiler, Amanda Ziemann, Michal Kucer, 2018, Defense + Security.

Resampling approach for anomalous change detection

James Theiler, Simon J. Perkins, 2007, SPIE Defense + Commercial Sensing.

Cracks in KRX: When more distant points are less anomalous

James Theiler, Guen Grosklos, J. Theiler, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Quantitative comparison of quadratic covariance-based anomalous change detectors.

James Theiler, J. Theiler, 2008, Applied optics.

Dynamic segmentation of gray-scale images in a computer model of the mammalian retina

Neal R. Harvey, James Theiler, Garrett T. Kenyon, 2004, SPIE Optics + Photonics.

Problematic Projection to the In-Sample Subspace for a Kernelized Anomaly Detector

James Theiler, Guen Grosklos, J. Theiler, 2016, IEEE Geoscience and Remote Sensing Letters.

Using blocks of skewers for faster computation of pixel purity index

Dominique Lavenier, Neal R. Harvey, James Theiler, 2000, SPIE Optics + Photonics.

LANL MTI science team experience

James Theiler, Anthony B. Davis, Petr Chylek, 2004, SPIE Optics + Photonics.

Radial kernels and their reproducing kernel Hilbert spaces

Don R. Hush, James Theiler, Ingo Steinwart, 2010, J. Complex..

Local principal component pursuit for nonlinear datasets

James Theiler, Brendt Wohlberg, Rick Chartrand, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Contiguity-enhanced k-means clustering algorithm for unsupervised multispectral image segmentation

James Theiler, Galen R. Gisler, G. Gisler, 1997, Optics & Photonics.

Using support vector machines for anomalous change detection

Daniel Llamocca, James Theiler, Ingo Steinwart, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

ALEXIS spacecraft attitude reconstruction with thermal/flexible motions due to launch damage

James Theiler, Mark L. Psiaki, Richard Warner, 1997 .

Experiments with Simplex ACE: dealing with highly variable targets

James Theiler, Amanda Ziemann, Emmett J. Ientilucci, 2017, Defense + Security.

Nonlinear signal contamination effects for gaseous plume detection in hyperspectral imagery

James Theiler, Andrew M. Fraser, Bernard R. Foy, 2006, SPIE Defense + Commercial Sensing.

Transductive and matched-pair machine learning for difficult target detection problems

James Theiler, J. Theiler, 2014, Defense + Security Symposium.

Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter

James Theiler, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Multi-sensor anomalous change detection in remote sensing imagery

James Theiler, Amanda Ziemann, Christopher X. Ren, 2021, Journal of Applied Remote Sensing.

Bayesian Detection of Solid Subpixel Targets

Stefania Matteoli, James Theiler, Amanda Ziemann, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Distilled Gaussianization

James Theiler, Christopher X. Ren, 2021, Optical Engineering + Applications.

Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation

James Theiler, Brendt Wohlberg, Renán Rojas-Gómez, 2020, IEEE Geoscience and Remote Sensing Letters.

Deep-faking it: generating and detecting synthetic remote sensing imagery

James Theiler, Amanda Ziemann, Christopher X. Ren, 2021 .

Deepfaking it: experiments in generative, adversarial multispectral remote sensing

James Theiler, Amanda Ziemann, Juston S. Moore, 2021, Defense + Commercial Sensing.

The application of compressed sensing to detecting damage in structures

Charles R. Farrar, James Theiler, David Mascarenas, 2011 .

Constrained-realization Monte-carlo Method for Hypothesis Testing

James Theiler, Dean Prichard, J. Theiler, 1996 .

RULLI/a Photon Counting Imager

James Theiler, Rodney W. Whitaker, Cheng Ho, 1998 .

Image Feature Extraction: Genie vs Conventional Supervised Classification Techniques

Neal R. Harvey, James Theiler, Mark Corrado Galassi, 2001 .

Firing correlations improve detection of moving bars

James Theiler, Garrett T. Kenyon, Bryan J. Travis, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

On the evidence for how-dimensional chaos in an epileptic electroencephalogram

James Theiler, J. Theiler, 1995 .

A Photon Counting Imager

James Theiler, Cheng Ho, William C. Priedhorsky, 1998 .

SIFT-based Sparse Coding for Large-scale Visual Recognition

James Theiler, Zhengping Ji, Steven P. Brumby, 2013 .

Unsolved problems in observational astronomy. II. Focus on rapid response – mining the sky with “thinking” telescopes

James Theiler, W. T. Vestrand, P. R. Wozniak, 2004 .

A Perspective on Materials Informatics: State-of-the-Art and Challenges

James Theiler, Kipton Barros, James E. Gubernatis, 2016 .

Statistical error in a chord estimator of correlation dimension: The rule of five''

James Theiler, Turab Lookman, T. Lookman, 1993 .

Polyvalent vaccines for optimal coverage of potential T-cell epitopes in global HIV-1 variants

James Theiler, Simon Perkins, Tanmoy Bhattacharya, 2007, Nature Medicine.

Using surrogate data to detect nonlinearity in time series

James Theiler, André Longtin, Stephen Eubank, 1991 .

The polarized emissivity of a wind-roughened sea surface: A Monte Carlo model

James Theiler, Bradley G. Henderson, Pierre V. Villeneuve, 2003 .

HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine Design

James Theiler, Karina Yusim, S. Gnanakaran, 2019, Cell host & microbe.

On the evidence for low-dimensional chaos in an epileptic electroencephalogram

James Theiler, J. Theiler, 1995 .

Quantitative Deep Sequencing Reveals Dynamic HIV-1 Escape and Large Population Shifts during CCR5 Antagonist Therapy In Vivo

James Theiler, Eoin Coakley, Bette Korber, 2009, PloS one.

Generalized redundancies for time series analysis

James Theiler, Dean Prichard, 1995 .

Linear mixing in thermal infrared temperature retrieval

James Theiler, Matthew F. McCabe, Alan R. Gillespie, 2008 .

Using \surrogate Surrogate Data" to Calibrate the Actual Rate of False Positives in Tests for Nonlinearity in Time Series

James Theiler, Dean Prichard, J. Theiler, 2007 .

Hypothesis testing in high-dimensional space with the Sparse Matrix Transform

Charles A. Bouman, James Theiler, Leonardo R. Bachega, 2010, 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop.

Antigenicity-defined conformations of an extremely neutralization-resistant HIV-1 envelope spike

James Theiler, Michael S Seaman, Bing Chen, 2017, Proceedings of the National Academy of Sciences.

A model of high-frequency oscillatory potentials in retinal ganglion cells

James Theiler, John S George, Garrett T. Kenyon, 2003, Visual Neuroscience.

Cross-Subtype T-Cell Immune Responses Induced by a Human Immunodeficiency Virus Type 1 Group M Consensus Env Immunogen

Feng Gao, James Theiler, Gary J. Nabel, 2006, Journal of Virology.

Importance of Feature Selection in Machine Learning and Adaptive Design for Materials

James Theiler, Turab Lookman, Prasanna V. Balachandran, 2018 .

Advantage of rare HLA supertype in HIV disease progression

James Theiler, Bette Korber, Robert Funkhouser, 2003, Nature Medicine.

Predicting displacements of octahedral cations in ferroelectric perovskites using machine learning.

James Theiler, Turab Lookman, Prasanna V Balachandran, 2017, Acta crystallographica Section B, Structural science, crystal engineering and materials.

Mosaic Vaccines Elicit CD8+ T lymphocyte Responses in Monkeys that Confer Enhanced Immune Coverage of Diverse HIV Strains

James Theiler, Norman L. Letvin, Bette T. Korber, 2010, Nature Medicine.

Lacunarity in a best estimator of fractal dimension

James Theiler, J. Theiler, 1988 .