Dr. Mark E. Oxley Profile

Dr. Mark E. Oxley

Professor of Mathematics at US Air Force

SPIE Involvement:

Author

Area of Expertise:

Applied Mathematics , Differential Equations , Information Fusion , ROC Analysis , ROC manifolds

Websites:

Company Website

Profile Summary

Mark Oxley is a Professor of Mathematics in the Department of Mathematics and Statistics, Graduate School of Engineering and Management, Air Force Institute of Technology located on Wright-Patterson Air Force Base, Ohio. Dr. Oxley earned the B.S. degree in mathematics from Cumberland College in 1978 (renamed to the University of the Cumberlands in 2005), the M.S. degree in applied mathematics from Purdue University in 1980, and the Ph.D. degree in mathematics from North Carolina State University in 1987. He joined the faculty at AFIT in July 1987. He has advised several M.S. and Ph.D. student research in artificial neural network theory, applied mathematics and information fusion. He has received research funding from AFOSR, AFRL, ACC, DARPA and NASIC. He has published over 70 research journal articles in mathematics, applied mathematics, and engineering. His research began in nonlinear partial differential equations, and has developed other areas of expertise in pattern recognition, signal and image processing, category theory, information fusion, and Receiver Operating Characteristics (ROC) curve and manifold analysis.

Publications (67)

Proceedings Article | 14 May 2019 Presentation + Paper

Presentation + Paper

Sequence theory for classification in multi-label ATR classification tasks

Christine Schubert Kabban, Mark Oxley

Proceedings Volume 11018, 110180H (2019) https://doi.org/10.1117/12.2520394

KEYWORDS: Classification systems, Automatic target recognition, Information science, Defense and security, Sensors, Mathematics, Data processing, System identification, Mathematical modeling, Information fusion

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Proceedings Article | 7 May 2019 Presentation + Paper

Presentation + Paper

Sequential and parallel fusion of detection and classification systems

Mark Oxley, Christine Schubert-Kabban

Proceedings Volume 11018, 110180G (2019) https://doi.org/10.1117/12.2518787

KEYWORDS: Sodium, Classification systems, Tantalum, Sensors, Receivers, Automatic target recognition, Defense technologies, Throat, Probability theory, Mathematics

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Proceedings Article | 7 June 2018 Presentation + Paper

Presentation + Paper

Detection system fusion based on the predictive value curve and its variations

Mark Oxley, Christine Schubert Kabban

Proceedings Volume 10646, 106460G (2018) https://doi.org/10.1117/12.2309742

KEYWORDS: Probability theory, Mathematics, Detection theory

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Proceedings Article | 9 May 2018 Paper

Paper

Improving ATR system performance through sequences of classification tasks

Christine Schubert Kabban, Mark Oxley

Proceedings Volume 10646, 106460H (2018) https://doi.org/10.1117/12.2304925

KEYWORDS: Classification systems, Automatic target recognition, Sensors, Information science, Defense and security, Statistical analysis, Mathematics, Target recognition, Information fusion, Associative arrays

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Proceedings Article | 25 August 2017 Paper

Paper

Exploiting redundant phase information of a reflection matrix

Kenneth Burgi, Michael Marciniak, Stephen Nauyoks, Mark Oxley

Proceedings Volume 10347, 103470K (2017) https://doi.org/10.1117/12.2274575

KEYWORDS: Reflectivity, Diffusion, Light scattering, Phase shift keying, Spatial light modulators, Laser scattering, Scattering, Phase modulation, Dynamic light scattering, Beam steering

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Proceedings Article | 4 May 2017 Presentation + Paper

Presentation + Paper

Fusion of cyber sensors on a network for improved detection and classification

Mark Oxley, Igor Ternovskiy

Proceedings Volume 10185, 101850H (2017) https://doi.org/10.1117/12.2267798

KEYWORDS: Sensors, Sensor networks, Sensor fusion, Cyber sensing, Receivers, Classification systems, Lithium, Matrices, Mathematics, Analytical research

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Proceedings Article | 2 May 2017 Paper

Paper

Event induced bias in label fusion

Christine Schubert Kabban, Alexander Venzin, Mark Oxley

Proceedings Volume 10200, 102000G (2017) https://doi.org/10.1117/12.2264632

KEYWORDS: Classification systems, Probability theory, Field emission displays, Fourier transforms, Target detection, Computing systems, Environmental sensing, Data processing, Barium, Information science

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Proceedings Article | 2 May 2017 Presentation + Paper

Presentation + Paper

Fusion within a classification system family

Mark Oxley, Christine Schubert Kabban

Proceedings Volume 10200, 102000H (2017) https://doi.org/10.1117/12.2265966

KEYWORDS: Sensors, Solids, Mathematics, Error analysis, Probability theory, Binary data, Dielectrophoresis, Defense and security

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Proceedings Article | 26 September 2016 Paper

Paper

Matrix methods for reflective inverse diffusion

Kenneth Burgi, Michael Marciniak, Stephen Nauyoks, Mark Oxley

Proceedings Volume 9961, 99610O (2016) https://doi.org/10.1117/12.2238272

KEYWORDS: Light scattering, Scattering, Spatial light modulators, Modulation, Speckle, Electroluminescent displays, Charge-coupled devices, Fourier transforms, Light sources, Wavefronts

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Proceedings Article | 17 May 2016 Paper

Paper

Multi-performance fusion of classification systems

Mark Oxley, James Fitch, Christine Schubert Kabban, Steven Thorsen

Proceedings Volume 9842, 98420G (2016) https://doi.org/10.1117/12.2225573

KEYWORDS: Signal processing, Classification systems, Yield improvement, Receivers, Mathematics, Sensors, Magnesium, Matrices, Projection systems, Defense and security

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Proceedings Article | 12 May 2016 Paper

Paper

The QuEST for multi-sensor big data ISR situation understanding

Steven Rogers, Jared Culbertson, Mark Oxley, H. Scott Clouse, Bernard Abayowa, James Patrick, Erik Blasch, John Trumpfheller

Proceedings Volume 9831, 98310G (2016) https://doi.org/10.1117/12.2229722

KEYWORDS: Consciousness, Intelligence systems, Sensors, Data modeling, Visualization, Mathematical modeling, Machine learning, Cognitive modeling, Data processing, Algorithm development

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Proceedings Article | 21 May 2015 Paper

Paper

Optimal fusion rules for multi-label fusion of independent classification system families

James Fitch, Mark Oxley, Christine Schubert Kabban

Proceedings Volume 9474, 94740T (2015) https://doi.org/10.1117/12.2178883

KEYWORDS: Classification systems, Sensors, Magnesium, Matrices, Receivers, Computing systems, Error analysis, Nomenclature, Mathematics, Defense and security

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Proceedings Article | 14 May 2015 Paper

Paper

QuEST for malware type-classification

Sandra Vaughan, Robert Mills, Michael Grimaila, Gilbert Peterson, Mark Oxley, Thomas Dube, Steven Rogers

Proceedings Volume 9458, 945807 (2015) https://doi.org/10.1117/12.2176861

KEYWORDS: Cognitive modeling, Consciousness, Mathematical modeling, Artificial intelligence, Sensors, Phase modulation, Computer architecture, Systems modeling, Cognition, Distance measurement

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Proceedings Article | 18 May 2012 Paper

Paper

Label fusion of classification systems via their ROC functions

James Fitch, Mark Oxley, Christine Schubert Kabban

Proceedings Volume 8392, 839214 (2012) https://doi.org/10.1117/12.920352

KEYWORDS: Magnesium, Binary data, Projection systems, Receivers, Sensors, Classification systems, Error analysis, Information fusion, Associative arrays, Radon

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Proceedings Article | 18 May 2012 Paper

Paper

Representations of probablistic situations

Jared Culbertson, Kirk Sturtz, Mark Oxley

Proceedings Volume 8392, 839212 (2012) https://doi.org/10.1117/12.919861

KEYWORDS: Probability theory, Mathematics, Sensors, Mathematical modeling, Ytterbium, Sensing systems, Systems modeling, Defense and security, On-screen displays, Stochastic processes

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Proceedings Article | 18 May 2012 Paper

Paper

Feature fusion of detection systems via their ROC functions

Mark Oxley, James Fitch, Christine Schubert Kabban

Proceedings Volume 8392, 839213 (2012) https://doi.org/10.1117/12.920353

KEYWORDS: Probability theory, Berkelium, Receivers, Classification systems, Sensors, Target detection, Roentgenium, Mathematics, Error analysis, Radon

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Proceedings Article | 20 May 2011 Paper

Paper

Categorification of the layered sensing construct

Kirk Sturtz, Jared Culbertson, Mark Oxley, Steven Rogers

Proceedings Volume 8059, 80590D (2011) https://doi.org/10.1117/12.886121

KEYWORDS: Sensors, Systems modeling, Mathematical modeling, Calcium, Mathematics, Situational awareness sensors, Computing systems, Cognitive modeling, Binary data, Sensing systems

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Proceedings Article | 5 May 2011 Paper

Paper

Sequential fusion

Mark Oxley, Kathleen Daly, Christine Schubert-Kabban, David Zitelli

Proceedings Volume 8050, 80500V (2011) https://doi.org/10.1117/12.884702

KEYWORDS: Fourier transforms, Classification systems, Probability theory, Radon, Automatic target recognition, Matrices, Lead, Niobium, Receivers, Throat

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Proceedings Article | 28 April 2010 Paper

Paper

Confidence of a ROC manifold

Mark Oxley, Christine Schubert, Steven Thorsen

Proceedings Volume 7697, 76970T (2010) https://doi.org/10.1117/12.850892

KEYWORDS: Classification systems, Radon, Probability theory, Fourier transforms, Automatic target recognition, Error analysis, Receivers, Matrices, Visualization, Stochastic processes

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Proceedings Article | 20 May 2009 Paper

Paper

Using qualia and novel representations in malware detection

Bobby Birrer, Richard Raines, Rusty Baldwin, Mark Oxley, Steven Rogers

Proceedings Volume 7352, 73520W (2009) https://doi.org/10.1117/12.821082

KEYWORDS: Data modeling, Mathematical modeling, Intelligence systems, Computing systems, Systems modeling, Classification systems, Multilayers, Network security, Sensors, Viruses

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Proceedings Article | 11 May 2009 Paper

Paper

ROC manifolds of multiple fused independent ATR systems

Mark Oxley, Christine Schubert, Steven Thorsen

Proceedings Volume 7336, 73360L (2009) https://doi.org/10.1117/12.819283

KEYWORDS: Classification systems, Probability theory, Radon, Automatic target recognition, Receivers, Sensors, Matrices, Mathematics, Medicine, Error analysis

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Proceedings Article | 11 May 2009 Paper

Paper

A risk-based comparison of classification systems

Steven Thorsen, Seth Wagenman, Mark Oxley, Kenneth Bauer

Proceedings Volume 7336, 73360T (2009) https://doi.org/10.1117/12.819280

KEYWORDS: Classification systems, Iris, Stochastic processes, Matrices, Signal detection, Statistical analysis, Receivers, Binary data, Signal processing, Interference (communication)

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Proceedings Article | 11 May 2009 Paper

Paper

Bounds on the ROC curves from fused correlated ATR systems

Christine Schubert, Mark Oxley, Kenneth Bauer

Proceedings Volume 7336, 73360K (2009) https://doi.org/10.1117/12.819282

KEYWORDS: Signal processing, Sensor fusion, Target recognition, Current controlled current source, Receivers

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Proceedings Article | 11 May 2009 Paper

Paper

The effects of correlation on the performance of ATR systems

Christine Schubert, Steven Thorsen, Mark Oxley

Proceedings Volume 7336, 73360U (2009) https://doi.org/10.1117/12.819281

KEYWORDS: Automatic target recognition, Computing systems, Signal processing, Sensor fusion, Target recognition, Current controlled current source, Receivers, Sensors

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Proceedings Article | 2 May 2008 Paper

Paper

The life and death of ATR/sensor fusion and the hope for resurrection

Steven Rogers, Charles Sadowski, Kenneth Bauer, Mark Oxley, Matthew Kabrisky, Adam Rogers, Stephen Mott

Proceedings Volume 6967, 696702 (2008) https://doi.org/10.1117/12.783012

KEYWORDS: Sensors, Automatic target recognition, Data modeling, Sensor fusion, Systems modeling, Situational awareness sensors, Performance modeling, Synthetic aperture radar, Environmental sensing, Telecommunications

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Proceedings Article | 1 May 2008 Paper

Paper

A qualia representation of cyberspace

Timothy Lacey, Robert Mills, Richard Raines, Mark Oxley, Kenneth Bauer, Steven Rogers

Proceedings Volume 6964, 69640C (2008) https://doi.org/10.1117/12.783179

KEYWORDS: Sensors, Situational awareness sensors, Computing systems, Computer networks, Sensor technology, Space operations, Matrices, Analytical research, Ear, Intelligent sensors

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Proceedings Article | 20 September 2007 Paper

Paper

Multiscale moment transforms over the integer lattice

Matthew Fickus, Guna Seetharaman, Mark Oxley

Proceedings Volume 6701, 67011N (2007) https://doi.org/10.1117/12.730819

KEYWORDS: Transform theory, Digital imaging, Image processing, Edge detection, Matrices, Fourier transforms, Sensors, Image registration, Convolution, Digital image processing

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Proceedings Article | 7 May 2007 Paper

Paper

ROC curve formulas for fused correlated classification systems

Mark Oxley, Steven Thorsen, Christine Schubert

Proceedings Volume 6567, 65670W (2007) https://doi.org/10.1117/12.718777

KEYWORDS: Classification systems, Probability theory, Automatic target recognition, Sensors, Receivers, Binary data, Mathematics, Analytical research, Error analysis, Dielectrophoresis

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Proceedings Article | 17 May 2006 Paper

Paper

Quantifying the robustness of classification systems

Steven Thorsen, Mark Oxley

Proceedings Volume 6235, 62350W (2006) https://doi.org/10.1117/12.666687

KEYWORDS: Classification systems, Sensors, Automatic target recognition, Data fusion, Systems modeling, Receivers, Data modeling, Associative arrays, Mathematics, Infrared imaging

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Proceedings Article | 17 May 2006 Paper

Paper

Performance measures for ATR systems with multiple classifiers and multiple labels

Christine Schubert, Steven Thorsen, Mark Oxley, Kenneth Bauer

Proceedings Volume 6235, 62350V (2006) https://doi.org/10.1117/12.668464

KEYWORDS: Classification systems, Probability theory, Lithium, Automatic target recognition, Sensors, Receivers, Mathematics, Biomedical engineering, Biomedical optics, Medicine

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Proceedings Article | 4 May 2006 Paper

Paper

Information forensics and the art of inquiry

Mark Oxley, Amy Magnus

Proceedings Volume 6229, 622902 (2006) https://doi.org/10.1117/12.668378

KEYWORDS: Forensic science, Sensors, Information fusion, Pattern recognition, Data processing, Defense and security, Computing systems, Systems modeling, Situational awareness sensors, Detection and tracking algorithms

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Proceedings Article | 3 May 2006 Paper

Paper

Quantifying surface normal estimation

Robert Reid, Mark Oxley, Michael Eismann, Matthew Goda

Proceedings Volume 6240, 624001 (2006) https://doi.org/10.1117/12.664161

KEYWORDS: Dielectric polarization, Error analysis, Surface roughness, Long wavelength infrared, Refraction, Polarimetry, Algorithm development, Polarization, Infrared radiation, Model-based design

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Proceedings Article | 25 May 2005 Paper

Paper

Quantifying the performance of fused correlated multiple classifiers

Christine Schubert, Mark Oxley, Kenneth Bauer

Proceedings Volume 5809, (2005) https://doi.org/10.1117/12.602956

KEYWORDS: Automatic target recognition, Signal processing, Sensor fusion, Target recognition, Receivers, Sensors

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Proceedings Article | 9 August 2004 Paper

Paper

Consistency results for the ROC curves of fused classifiers

Kristopher Bjerkaas, Mark Oxley, Kenneth Bauer

Proceedings Volume 5429, (2004) https://doi.org/10.1117/12.542284

KEYWORDS: Sensors, Statistical analysis, Sensor fusion, MATLAB, Receivers, Data fusion, Classification systems, Data analysis, Mathematics, Defense and security

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Proceedings Article | 9 August 2004 Paper

Paper

Quantifying the correlation effects of fused classifiers

Christine Schubert, Nathan Leap, Mark Oxley, Kenneth Bauer

Proceedings Volume 5429, (2004) https://doi.org/10.1117/12.542578

KEYWORDS: Probability theory, Receivers, Sensors, Target recognition, Analytical research, Feature extraction, Mathematics, Statistical modeling, Pattern recognition, Defense and security

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Proceedings Article | 12 April 2004 Paper

Paper

A category theory description of multisensor fusion

Steven Thorsen, Mark Oxley

Proceedings Volume 5434, (2004) https://doi.org/10.1117/12.542517

KEYWORDS: Data fusion, Receivers

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Proceedings Article | 12 April 2004 Paper

Paper

Techniques for evaluating classifiers in application

Amy Magnus, Mark Oxley

Proceedings Volume 5421, (2004) https://doi.org/10.1117/12.542596

KEYWORDS: Machine learning

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Proceedings Article | 30 December 2003 Paper

Paper

Expert classifiers and the ordered veracity-experience response (OVER) curve

Amy Magnus, Mark Oxley

Proceedings Volume 5200, (2003) https://doi.org/10.1117/12.506297

KEYWORDS: Logic, Iris, Fuzzy logic, Matrices, Defense technologies, Defense and security, Mathematics, Neural networks, Visualization, Error analysis

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Proceedings Article | 25 August 2003 Paper

Paper

Evaluating the fusion of multiple classifiers via ROC curves

Justin Hill, Mark Oxley, Kenneth Bauer

Proceedings Volume 5096, (2003) https://doi.org/10.1117/12.487493

KEYWORDS: Target detection, Matrices, Sensors, Computing systems, Statistical analysis, Receivers, Analytical research, Classification systems, Signal processing, Data centers

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Proceedings Article | 4 August 2003 Paper

Paper

Artificial symbols and the essence of intelligent computing

Amy Magnus, Mark Oxley

Proceedings Volume 5103, (2003) https://doi.org/10.1117/12.487485

KEYWORDS: Iris, Logic, Evolutionary algorithms, Artificial intelligence, Data modeling, Defense technologies, Defense and security, Mathematics, Algorithms, Neural networks

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Proceedings Article | 4 August 2003 Paper

Paper

Measuring the generalization capabilities of arbitrary classifiers

Mark Oxley, Amy Magnus

Proceedings Volume 5103, (2003) https://doi.org/10.1117/12.487484

KEYWORDS: Logic, Fuzzy logic, Sensors, Defense and security, Data analysis, Lithium, Matrices, Defense technologies, Logic devices, Mathematics

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Proceedings Article | 11 March 2002 Paper

Paper

Quantifying the expertise of classifiers using 4-value logic

Amy Magnus, Mark Oxley

Proceedings Volume 4739, (2002) https://doi.org/10.1117/12.458705

KEYWORDS: Logic, Data storage, Fuzzy logic, Computer programming, Intelligence systems, Mathematics, Error analysis, Estimation theory, Data compression, Fourier transforms

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Proceedings Article | 11 March 2002 Paper

Paper

Confusion-based fusion of classifiers

Mark Oxley, Amy Magnus

Proceedings Volume 4739, (2002) https://doi.org/10.1117/12.458704

KEYWORDS: Logic, Feature extraction, Sensors, Data fusion, Intelligence systems, Fourier transforms, Optical spheres, Roentgenium, Analytical research, Roads

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Proceedings Article | 14 November 2001 Paper

Paper

Theory of confusion

Amy Magnus, Mark Oxley

Proceedings Volume 4479, (2001) https://doi.org/10.1117/12.448337

KEYWORDS: Logic, Error analysis, Data communications, Associative arrays, Data modeling, Matrices, Pattern recognition, Feature extraction, Mathematics, Artificial neural networks

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Proceedings Article | 21 March 2001 Paper

Paper

Capability measures of artificial neural network architectures based on soft shattering

Mark Oxley, Martha Carter

Proceedings Volume 4390, (2001) https://doi.org/10.1117/12.421183

KEYWORDS: Artificial neural networks, Silicon, Mathematics, Network architectures, Radon, Astatine

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Proceedings Article | 30 March 2000 Paper

Paper

Topological-based capability measures of artificial neural network architectures

Mark Oxley, Martha Carter

Proceedings Volume 4055, (2000) https://doi.org/10.1117/12.380558

KEYWORDS: Artificial neural networks, Mathematics, Tin, Network architectures, Binary data, Matrix multiplication, Astatine, Osmium, Europium, Logic

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Proceedings Article | 22 March 1999 Paper

Paper

Generalized measures of artificial neural network capabilities

Martha Carter, Mark Oxley

Proceedings Volume 3722, (1999) https://doi.org/10.1117/12.342875

KEYWORDS: Artificial neural networks, Mathematics, System on a chip, Mathematical modeling, Matrix multiplication, Classification systems, Vector spaces, Dysprosium, Binary data, Reflectivity

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Proceedings Article | 22 March 1999 Paper

Paper

Evaluating the Vapnik-Chervonenkis dimension of artificial neural networks using the Poincare' polynomial

Mark Oxley, Martha Carter

Proceedings Volume 3722, (1999) https://doi.org/10.1117/12.342902

KEYWORDS: Artificial neural networks, Mathematics, Analytical research, Neural networks, Direct methods, Multilayers, Logic, Fourier transforms, Statistical analysis, Traumatic brain injury

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Proceedings Article | 26 March 1998 Paper

Paper

Face recognition using Gabor wavelets and human saccadic behavior

John Keller, Lemuel Myers, Steven Rogers, Matthew Kabrisky, Mark Oxley, Martin DeSimio

Proceedings Volume 3391, (1998) https://doi.org/10.1117/12.304887

KEYWORDS: Visualization, Visual process modeling, Image processing, Facial recognition systems, Wavelets, Sensors, Image filtering, Image resolution, Eye, Visual system

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Proceedings Article | 25 March 1998 Paper

Paper

RBF iterative construction algorithm (RICA)

Terry Wilson, Steven Rogers, Mark Oxley, Thomas Rathbun, Martin DeSimio, Matthew Kabrisky

Proceedings Volume 3390, (1998) https://doi.org/10.1117/12.304831

KEYWORDS: Mahalanobis distance, Data centers, Infrared imaging, Infrared radiation, Detection and tracking algorithms, Optical character recognition, Network architectures, Statistical analysis, Mica, Analytical research

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Proceedings Article | 4 April 1997 Paper

Paper

MLP iterative construction algorithm

Thomas Rathbun, Steven Rogers, Martin DeSimio, Mark Oxley

Proceedings Volume 3077, (1997) https://doi.org/10.1117/12.271467

KEYWORDS: Mica, Evolutionary algorithms, Neural networks, Feature selection

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Proceedings Article | 11 November 1996 Paper

Paper

Combinatorial geometry and V-C dimension

Martha Carter, Mark Oxley

Proceedings Volume 2824, (1996) https://doi.org/10.1117/12.258134

KEYWORDS: Artificial neural networks, Virtual colonoscopy, Neural networks, Binary data, Laser induced fluorescence, Analytical research, Mathematics, Lutetium

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Proceedings Article | 6 April 1995 Paper

Paper

Automatic target recognition using neural networks

Steven Rogers, John Colombi, Curtis Martin, James Gainey, Kenneth Fielding, Thomas Burns, Dennis Ruck, Matthew Kabrisky, Mark Oxley

Proceedings Volume 2492, (1995) https://doi.org/10.1117/12.205140

KEYWORDS: Neural networks, Automatic target recognition, Image segmentation, Error analysis, Statistical analysis, Target recognition, Sensors, Feature extraction, Classification systems, Autoregressive models

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Many applications reported in artificial neural networks are associated with military problems. This paper reviews concepts associated with the processing of military data to find and recognize targets -- automatic target recognition (ATR). A general-purpose automatic target recognition system does not exist. The work presented here is demonstrated on military data, but it can only be considered proof of principle until systems are fielded and proven `under- fire.' ATR data can be in the form of nonimaging one-dimensional sensor returns, such as ultra-high range-resolution radar returns (UHRR) for air-to-air automatic target recognition and vibration signatures from a laser radar for recognition of ground targets. The ATR data can be two-dimensional images. The most common ATR images are infrared, but current systems must also deal with synthetic aperture radar (SAR) images. Finally, the data can be three-dimensional, such as sequences of multiple exposures taken over time from a nonstationary world. Targets move, as do sensors, and that movement can be exploited by the ATR. Hyperspectral data, which are views of the same piece of the world looking at different spectral bands, is another example of multiple image data; the third dimension is now wavelength and not time. ATR system design usually consists of four stages. The first stage is to select the sensor or sensors to produce the target measurements. The next stage is the preprocessing of the data and the location of regions of interest within the data (segmentation). The human retina is a ruthless preprocessor. Physiologically motivated preprocessing and segmentation is demonstrated along with supervised and unsupervised artificial neural segmentation techniques. The third design step is feature extraction and selection: the extraction of a set of numbers which characterize regions of the data. The last step is the processing of the features for decision making (classification). The area of classification is where most ATR related neural network research has been accomplished. The relation of neural classifiers to Bayesian techniques is emphasized along with the more recent use of feature sequences to enhance classification.

SPIE Journal Paper | 1 July 1994

Discrete, spatiotemporal, wavelet multiresolution analysis method for computing optical flow

Thomas Burns, Steven Rogers, Dennis Ruck, Mark Oxley

OE, Vol. 33, Issue 07, (July 1994) https://doi.org/10.1117/12.10.1117/12.172250

KEYWORDS: Wavelets, Image filtering, Electronic filtering, Optical filters, Temporal resolution, Optical flow, Fourier transforms, Motion analysis, Spatial resolution, Sensors

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Proceedings Article | 15 March 1994 Paper

Paper

Computing optical flow using a discrete, spatio-temporal, wavelet multiresolution analysis

Thomas Burns, Steven Rogers, Mark Oxley, Dennis Ruck

Proceedings Volume 2242, (1994) https://doi.org/10.1117/12.170056

KEYWORDS: Wavelets, Image filtering, Fourier transforms, Optical flow, Optical filters, Sensors, Electronic filtering, Temporal resolution, 3D image processing, Spatial filters

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Proceedings Article | 2 March 1994 Paper

Paper

Identity verification through the fusion of face and speaker data

John Keller, Steven Rogers, Dennis Ruck, Mark Oxley

Proceedings Volume 2243, (1994) https://doi.org/10.1117/12.170010

KEYWORDS: Neural networks, Databases, Facial recognition systems, Data fusion, Distortion, Classification systems, Computer security, Image segmentation, Speaker recognition, System identification

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Proceedings Article | 2 March 1994 Paper

Paper

Color image segmentation

Kimberley McCrae, Dennis Ruck, Steven Rogers, Mark Oxley

Proceedings Volume 2243, (1994) https://doi.org/10.1117/12.169979

KEYWORDS: Image segmentation, Wavelets, Neural networks, Computing systems, Color image segmentation, Visual system, Sensors, Image filtering, Target recognition, Motion detection

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SPIE Journal Paper | 1 January 1994

Object tracking through adaptive correlation

Dennis Montera, Steven Rogers, Dennis Ruck, Mark Oxley

OE, Vol. 33, Issue 01, (January 1994) https://doi.org/10.1117/12.10.1117/12.152013

KEYWORDS: Optical correlators, Detection and tracking algorithms, Optical tracking, Sensors, Target recognition, Algorithm development, Target detection, Forward looking infrared, Neural networks, Computer engineering

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Proceedings Article | 29 October 1993 Paper

Paper

Spatiotemporal pattern recognition using hidden Markov models

Kenneth Fielding, Dennis Ruck, Steven Rogers, Byron Welsh, Mark Oxley

Proceedings Volume 2032, (1993) https://doi.org/10.1117/12.162031

KEYWORDS: Signal to noise ratio, Optical spheres, Pattern recognition, Image classification, Error analysis, Image processing, Motion models, Statistical modeling, Statistical analysis, 3D modeling

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Proceedings Article | 25 October 1993 Paper

Paper

Object tracking through adaptive correlation

Dennis Montera, Steven Rogers, Dennis Ruck, Mark Oxley

Proceedings Volume 1959, (1993) https://doi.org/10.1117/12.160301

KEYWORDS: Optical correlators, Optical tracking, Target recognition, Sensors, Detection and tracking algorithms, Target detection, Algorithm development, Forward looking infrared, Optical pattern recognition, Infrared sensors

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Proceedings Article | 3 September 1993 Paper

Paper

Autonomous target recognition using remotely sensed surface vibration measurements

James Geurts, Dennis Ruck, Steven Rogers, Mark Oxley, Dallas Barr

Proceedings Volume 1955, (1993) https://doi.org/10.1117/12.154968

KEYWORDS: Sensors, LIDAR, Classification systems, Vibrometry, Automatic target recognition, Doppler effect, Distortion, Systems modeling, Target recognition, Camouflage

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Proceedings Article | 2 September 1993 Paper

Paper

Multisensor user authentication

John Colombi, D. Krepp, Steven Rogers, Dennis Ruck, Mark Oxley

Proceedings Volume 1965, (1993) https://doi.org/10.1117/12.152518

KEYWORDS: Neural networks, Facial recognition systems, Speaker recognition, Databases, Artificial neural networks, Data fusion, Image processing, Detection and tracking algorithms, Data modeling, Principal component analysis

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Proceedings Article | 2 September 1993 Paper

Paper

Characterization of the 80170NX (ETANN) chip sigmoidal transfer function for a device Vgain=3.3V

J. Calvin, Steven Rogers, Daniel Zahirniak, Dennis Ruck, Mark Oxley

Proceedings Volume 1965, (1993) https://doi.org/10.1117/12.152567

KEYWORDS: Neurons, Visualization, Neural networks, Analog electronics, Computer simulations, Artificial neural networks, Binary data, Data processing, Data storage, Pattern recognition

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Proceedings Article | 19 August 1993 Paper

Paper

Multisensor user authentication

John Colombi, D. Krepp, Steven Rogers, Dennis Ruck, Mark Oxley

Proceedings Volume 1966, (1993) https://doi.org/10.1117/12.152612

KEYWORDS: Neural networks, Facial recognition systems, Speaker recognition, Databases, Artificial neural networks, Data fusion, Image processing, Detection and tracking algorithms, Data modeling, Principal component analysis

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Proceedings Article | 1 November 1992 Paper

Paper

Spatiotemporal signal processing using a discrete 3D multiresolution wavelet analysis

Thomas Burns, Steven Rogers, Mark Oxley, Dennis Ruck

Proceedings Volume 1826, (1992) https://doi.org/10.1117/12.131584

KEYWORDS: Signal processing, Wavelets

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Proceedings Article | 1 July 1992 Paper

Paper

Image segmentation using optical wavelets

Steven Pinski, Steven Rogers, Dennis Ruck, Byron Welsh, Matthew Kabrisky, Gregory Warhola, Dennis Quinn, Mark Oxley

Proceedings Volume 1702, (1992) https://doi.org/10.1117/12.60543

KEYWORDS: Wavelets, Image segmentation, Spatial filters, Image filtering, Filtering (signal processing), Image processing, Fourier transforms, Signal processing, Magneto-optics, Modulation

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Proceedings Article | 1 March 1992 Paper

Paper

Optical image segmentation using wavelet correlation

Steven Pinski, Steven Rogers, Dennis Ruck, Byron Welsh, Matthew Kabrisky, Gregory Warhola, Dennis Quinn, Mark Oxley

Proceedings Volume 1608, (1992) https://doi.org/10.1117/12.135107

KEYWORDS: Wavelets, Image segmentation, Spatial filters, Optical filters, Holography, Fourier transforms, Robots, Machine vision, Computer vision technology, Robot vision

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Showing 5 of 67 publications

Conference Committee Involvement (8)

Intelligent Computing: Theory and Applications VI

17 March 2008 | Orlando, Florida, United States

Intelligent Computing: Theory and Applications V

9 April 2007 | Orlando, Florida, United States

Sensor-ATR Exploitation

15 June 2006 | Dayton, Ohio, United States

Intelligent Computing: Theory and Applications IV

17 April 2006 | Orlando (Kissimmee), Florida, United States

Intelligent Computing: Theory and Applications III

28 March 2005 | Orlando, Florida, United States

Showing 5 of 8 Conference Committees

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