Abstract. In remote sensing hyperspectral image processing, identifying the constituent spectra (endmembers) of the materials in the image is a key procedure for further analysis. ...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
The use of the statistical technique of mixture model analysis as a tool for early prediction of fault-prone program modules is investigated. The Expectation-Maximum likelihood (E...
This experience report demonstrates several running programs with visual, animated, colorful displays of "algorithms in action." A common element of all of the programs ...
Given a hardware/software partitioned specification and an allocation (number and type) of processors, we present an algorithm to (1) map each of the software behaviors (or tasks...