Online Technical Reports
These papers are generally postscript or compressed (.Z) postscript
files; the software package is a zip file.
- Barker and Martin,
Dynamics of a Distance-Based Population Diversity Measure (This
paper appeared at the Congress on Evolutionary Computation, July 2000.)
- Barker,
Self-Organizing Switchbox Routing on an Adaptive Resistor Grid,
Dec. 1997. (This paper
discusses a method for solving certain instances of the switchbox routing
problem. It is based on a positive feedback process, similar to erosion,
implemented as current flow in a simulated grid of resistors.)
- Barker,
Selection of Distance Metrics and Feature Subsets for k-Nearest
Neighbor Classifiers (My Ph.D. dissertation, May 1997. Also available in
Adobe pdf format.)
- Barker, String, Array, and Matrix Classes in C++ (paper only)
Barker, String, Array, and Matrix Classes in C++ (paper packed with
the free software distribution) (Last modified Apr. 22, 1996)
- Barker, Brown, and Martin,
Static Data Association with a Terrain-Based Prior Density (This
paper discusses the use of a subjective prior density in data association and state estimation. Extentions to the dynamic case and the relation to
Kalman filtering are also discussed. Refinements of parts of this report appear in IEEE
Transactions on Systems, Man, and Cybernetics, Part C, Vol. 28, No. 1, Feb. 1998.)
- Barker, Brown, and Martin,
Bayesian Estimation and the Kalman Filter. (The published version of this paper
appears in
Computers and Mathematics with Applications, Vol. 30, No. 10, 1995. The paper is a tutorial on Kalman filtering from a Bayesian perspective.
Examples include a probabilistic Turing machine, dynamic classification,
and tracking a moving object.)
- Barker, Brown, and Martin, A Framework for the Compact
Representation of Data Used By Data Fusion Algorithms, May 1991.
(Note that the
title page prints at the end of the postscript file. This paper still needs
some work that we have not had the occasion to do. Nonetheless, it has some
good ideas in it.)
- Barker, Neural Network Applications to Sensor Data Fusion,
May 1989. (My MS thesis. Note that the title page and table of contents
print at the end of the postscript file. Refinements of some parts of this work
appear in ORSA Journal on Computing, Vol. 2, No. 2, Spring 1990.)
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Index to all UVA Computer Science technical reports and dissertations online.