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Yuekui Yang, Larry Di Girolamo, and Dominic Mazzoni.
Selection of the automated thresholding algorithm for the Multi-angle Imaging SpectroRadiometer Radiometric Camera-by-Camera Cloud Mask over land.
Remote Sensing of the Environment 107, p. 159-171.
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Dominic Mazzoni, Jennifer A. Logan, David Diner, Ralph Kahn, Lingling Tong, and Qinbin Li.
A data-mining approach to associating MISR smoke plume heights with MODIS fire measurements.
Remote Sensing of the Environment 107, p. 149-158.
Abstract/PDF (ScienceDirect)
(CL #07-0026)
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Dominic Mazzoni, Michael J. Garay, Roger Davies, and David Nelson.
An operational MISR pixel classifier using support vector machines.
Remote Sensing of the Environment 107, p. 138-148.
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Dominic Mazzoni, Kiri L. Wagstaff, and Michael Burl.
Active Learning with Irrelevant Examples.
Proceedings of the Seventeenth European Conference on Machine Learning, September 2006.
Download PDF
(CL #06-1838)
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Kiri Wagstaff and Dominic Mazzoni.
Recent HARVIST Results: Classifying Crops from Remote Sensing Data.
Proceedings of the Second NASA Data Mining Workshop, May 2006.
Download PDF
(CL #06-2015)
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Clare Averill, Dominic Mazzoni, Jennifer Logan, Lingling Tong, David Diner, and Qinbin Li.
Combining MISR and MODIS Data to Automatically Catalog Smoke Plumes in North America.
The Earth Observer, 17 (6), pp. 11-12, Nov-Dec 2005.
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(CL #05-3292)
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Rebecca Castano, Dominic Mazzoni, Nghia Tang, Thomas Doggett, Steve Chien, Ronald Greeley, Ben Cichy , and Ashley Davies,.
Learning Classifiers for Science Event Detection in Remote Sensing Imagery,.
iSAIRAS, Sept 2005.
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(CL #05-2146)
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Kiri L. Wagstaff, Henry P. Shu, Dominic Mazzoni, and Rebecca Castano.
Semi-Supervised Data Summarization: Using Spectral Libraries to Improve Hyperspectral Clustering.
The Interplanetary Network Progress Report, vol. 42-163, November 2005.
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(CL #05-3746)
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Kiri L. Wagstaff, Dominic Mazzoni, and Stephan Sain.
HARVIST: A System for Agricultural and Weather Studies Using Advanced Statistical Models.
Proceedings of the Earth-Sun Systems Technology Conference, June 2005.
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(CL #05-1370)
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D. Mazzoni.
LibFeature: A Software Library for Quickly Generating Feature Vectors on the Fly from Structured Data.
Proceedings of the Eighth Workshop on Mining Scientific and Engineering Datasets, 2005 SIAM International Conference on Data Mining, April 2005.
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(CL #05-0984)
See also: LibFeature software download.
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D. Mazzoni, A. Horváth, M. Garay, B. Tang, R. Davies.
A MISR Cloud-Type Classifier using Reduced Support Vector Machines.
Proceedings of the Eighth Workshop on Mining Scientific and Engineering Datasets, 2005 SIAM International Conference on Data Mining, April 2005.
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(CL #05-1005)
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M. Garay, D. Mazzoni, R. Davies, D. Diner.
The Application of Support Vector Machines to the Analysis of Global Datasets from MISR.
Proceedings of the Fourth Conference on Artificial Intelligence Applications to Environmental Sciences, American Meteorological Society, San Diego, CA, January 2005.
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(CL #04-3728)
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Dominic Mazzoni, Kiri Wagstaff, and Rebecca Castano.
Using Trained Pixel Classifiers to Select Images of Interest.
The Interplanetary Network Progress Report, vol. 42-158, 2004.
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D. DeCoste and D. Mazzoni.
Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors.
International Conference on Machine Learning (ICML), August 2003.
Download PS
(CL #03-1875)
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R. Castano, R. C. Anderson, T. Estlin, D. DeCoste, F. Fisher, D. Gaines, D. Mazzoni, M. Judd.
Rover Traverse Science for Increased Mission Science Return.
Proceedings of the 2003 IEEE Aerospace Conference, Big Sky, Montana, March 2003.
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(CL #02-2872)
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