Class Model templates: The goal of this project is to determine
the number of identifiable and reasonably separable clusters within a
single class of vehicles. For each such cluster of vehicles we are also
seeking to construct templates that can discriminate between vehicles in a
cluster and those outside it.
Belief Function based classifiers for HRR Signatures: The
objective of this project is to design a classifier that properly models
the structure of the space of HRR signatures.