Mr. Damian R. Eads Profile

Damian R. Eads

at Los Alamos National Lab

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Author

Publications (4)

Proceedings Article | 1 June 2005 Paper

Genie Pro: robust image classification using shape, texture, and spectral information

Simon Perkins, Kim Edlund, Diana Esch-Mosher, Damian Eads, Neal Harvey, Steven Brumby

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.604519

KEYWORDS: Image analysis, Image processing, Image classification, Roads, Evolutionary algorithms, Satellite imaging, Earth observing sensors, Satellites, Geographic information systems, Hyperspectral imaging

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Proceedings Article | 30 December 2003 Paper

Multimodal approach to feature extraction for image and signal learning problems

Damian Eads, Steven Williams, James Theiler, Reid Porter, Neal Harvey, Simon Perkins, Steven Brumby, Nancy David

Proceedings Volume 5200, (2003) https://doi.org/10.1117/12.506611

KEYWORDS: Image classification, Feature extraction, Computer programming, Binary data, Remote sensing, Genetics, Pattern recognition, Data modeling, Machine learning, Multispectral imaging

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Proceedings Article | 6 December 2002 Paper

Genetic algorithms and support vector machines for time series classification

Damian Eads, Daniel Hill, Sean Davis, Simon Perkins, Junshui Ma, Reid Porter, James Theiler

Proceedings Volume 4787, (2002) https://doi.org/10.1117/12.453526

KEYWORDS: Feature selection, Evolutionary algorithms, Feature extraction, Computer programming, Satellites, Genetic algorithms, Genetics, Data acquisition, Machine learning, Convolution

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Proceedings Article | 2 August 2002 Paper

Feature extraction from multiple data sources using genetic programming

John Szymanski, Steven Brumby, Paul Pope, Damian Eads, Diana Esch-Mosher, Mark Galassi, Neal Harvey, Hersey McCulloch, Simon Perkins, Reid Porter, James Theiler, Aaron Young, Jeffrey Bloch, Nancy David

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478765

KEYWORDS: Feature extraction, Multispectral imaging, Genetics, Image processing, Computer programming, Data modeling, Sensors, Evolutionary algorithms, Machine learning, Remote sensing

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