Papers

* related to dissertation research (1 paper, 2 in preparation)
PaperDownload
* 17. D. Eads, D. Helmbold, E. Rosten. "Boosting in Location Space." August, 2011. (in preparation)
* 16. D. Eads, D. Helmbold, and J. Theiler. "A New Learning Algorithm for Time Series Classification." August, 2011. (in preparation)
* 15. D. Eads, E. Rosten, and D. Helmbold. "Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction." British Machine Vision Conference. Queen Mary, University of London. London, UK. September, 2009.PDF
BibTeX
Talk (PDF)
14. D. Eads and E. Rosten. "Convert-XY: Type-safe Interchange of Containers Between C++ and Python." Proceedings of the SciPy Conference. California Institute of Technology. Pasadena, CA. August, 2009. PDF
BibTeX
Talk (PDF)
13. D. Eads and E. Rosten. "Using SciPy to Support Research in Computer Vision." Proceedings of the SciPy Conference. California Institute of Technology. Pasadena, CA. August, 2008. pp. 22--6. PDF
12. J. Bloom, D. Starr, N. Butler, P. Nugent, M. Rischard, D. Eads, and D. Poznanski. "Toward a Real-time Transient Classification Engine." Astronomische Nachrichten. Volume 329. Issue 3. March, 2008. pp. 284-7. Citation
11. C. Maltzahn, N. Bobb, M. W. Storer, D. Eads, S. A. Brandt, and E. L. Miller, "Graffiti: A Framework for Testing Collaborative Distributed Metadata." Proceedings in Informatics. 2006. pp. 97--111. PDF
10. P. Zigoris, D. Eads, and Y. Zhang. "Unsupervised Learning of Tree Alignment Models for Information Extraction." The International Conference on Data Mining (ICDM) Workshop on Ontology Mining and Knowledge Discovery from Semi-Structured Documents. Hong Kong, China. December, 2006. Accepted for publication. PDF
9. N. Bobb, D. Eads, M. W. Storer, S. A. Brandt, C. Maltzahn, and E. L. Miller. "Graffiti: A Framework for Testing Collaborative Metadata." Proceedings of the 2006 Workshop on Distributed Data and Structures (WDAS 2006). Santa Clara, CA. January, 2006.  
8. D. Eads, K. Glocer, S. Perkins, and J. Theiler. "Grammar-guided Feature Extraction for Time Series Classification." LANL Technical Report LA-UR-05-4487. June, 2005. PDF
BibTeX
7. K. Glocer, D. Eads, and J. Theiler. "Online Feature Selection for Pixel Classification." Twenty-second International Conference on Machine Learning (ICML-2005). Bonn, Germany. In print. pp 249-256. August, 2005. PDF
6. S. Perkins, K. Edlund, D. Esch-Mosher, D. Eads, N. Harvey, and S. Brumby. "Genie Pro: Robust Image Classification using Shape, Texture, and Spectral Information." SPIE Conference on Defense and Security. Orlando, FL. In print. pp 139-148. April, 2005. PDF
5. R. Porter, D. Eads, D. Hush and J. Theiler. "Weighted Order Statistic Classifiers with Large Rank-Order Margin." Twentieth International Conference on Machine Learning. (ICML-2003). Washington, DC. In print. pp. 600-607. August, 2003. PDF
4. D. Eads, S. J. Williams, J. Theiler, R. Porter, N. R. Harvey, S. J. Perkins, S. P. Brumby, and N. A. David. "Zeus: A Multimodal Approach to Feature Extraction for Signal and Pixel Learning Problems Using Evolutionary Computation." Sixth Conference on the Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation. Symposium on Optical Science and Technology of the 2003 SPIE Annual Meeting. San Diego, CA. pp. 79-90. August, 2003.  
3. D. Eads, D. Hill, S. Davis, S. Perkins, J. Ma, R. Porter, and J. Theiler. "Genetic Algorithms and Support Vector Machines for Time Series Classification." Fifth Conference on the Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation. Symposium on Optical Science and Technology of the 2002 SPIE Annual Meeting. Seattle, WA. In print. Proc. SPIE 4787. pp. 74-85. July, 2002. PDF
2. J. J. Szymanski, S. P. Brumby, P. Pope, D. Eads, D. Esch-Mosher, M. Galassi, N. R. Harvey, H. D. W. McCulloch, S. J. Perkins, R. Porter, J. Theiler, A. C. Young, J. J. Bloch, and N. David. "Feature Extraction from Multiple Data Sources using Genetic Programming." 2002 SPIE AeroSense Conference. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII. In print. Proc. SPIE 4725. pp. 338-445. March, 2002. PDF
1. J. Binder, H. P. Bischof, J. Coles, D. Eads, C. Fagan, and J. Myers. "Java Reliable Multicast Service (JRMS): A Tutorial." January, 2000. HTML

Thesis Documents

Document Download
Dissertation Proposal
"Ensembles of Weak Object Detectors"
Defended: January 21, 2009 Pass
Examiners:
 

Class Papers

Paper Download
10. D. Eads. "A New Adaptive Approach to Learning Object Detectors in Unstructured Environments." Final Report for Independent Study. CMPS 299. May, 2008. (18 pages)  
9. D. Eads. "A Report on the Chestnut Machine Learning Suite." Final Report for Independent Study. CMPS 297. May, 2008. (48 pages)  
8. D. Eads. "Properties of Sequence Exemplars." Final Report for Independent Study. CMPS 297. May, 2008. (13 pages)  
7. D. Eads. "Fast Object Detection in Panchromatic Imagery." Final Report for Independent Study. CMPS 297. March, 2008. LANL Technical Report LA-UR 08-2384. (26 pages)  
6. D. Eads. "CASCC: A New Algorithm for Time Series Classification." Final Report for Machine Learning. CMPS 242. December, 2006. (17 pages)  
5. D. Eads and P. Zigoris. "Machine Learning for Information Extraction: from Web Pages to Spreadsheets". Final Report for Information Retrieval. ISM 260. May, 2006. PDF
4. D. Eads. "Static Trust Flow Analysis for the Simply-typed Lambda Calculus". Final Report for Advanced Computer Security. CMPS 223. May, 2006 PDF
3. D. Eads. "Using Machine Learning for Adaptive Placement of Files in Non-heterogenous Storage Systems." Final Report for Storage Systems. CMPS 229. March, 2006.  
2. J. Johnson and D. Eads. "MultiCruz: An Implementation of Multiple Method Dispatch." Final Report for Programming Languages and Semantics. CMPS 221. December, 2005. PDF
1. D. Eads. "MRAM: Exploring Alternative Data Structures for Low-Level Filesystem Management." Final Report for Advanced Operating Systems. CMPS 203. December, 2005. PDF

Class Notes (Scribe Duty)

Paper Download
"A Summary of Nonlinear Programming (NLP)." ISM 206. Fall 2006. PDF

Acknowledged in

Paper Download
1. J. Geigel, M. Schweppe. "Theatrical storytelling in a virtual space." ACM Workshop on Story Representation. 2005.  

Software Docs and Manuals

Title Download
Plotting Dendrograms with scipy-cluster (November, 2007) HTML
SIF Reference Manual, Format Specification, and API Documentation (November, 2007) PDF HTML
scipy-cluster API Documentation (September, 2007) HTML
MMLS API Documentation (August, 2007) Link Coming Soon
A crash-course on the Zeus Grammar System (ZGS). (June, 2005).
Unreleased LANL Technical Report.
 
ritfob API Documentation (May, 2004) HTML
ritglove API Documentation (May, 2004) HTML
OSU-SVM API Documentation (not original author, helped revise in May, 2003) HTML
mfitsio Developer's Documentation (January, 2003) PDF
ritopt API Documentation (November, 2001) HTML
ritopt Tutorial (November, 2001) PDF HTML