Many modern imaging sensors must obtain multiple looks or “views” of a target at different
orientations to automatically classify it with high confidence. Therefore, when tasked with …

Automatic target recognition (ATR) for unexploded ordnance (UXO) detection and classification
using sonar data of opportunity from open oceans survey sites is an open research area. …

This work analyzes approaches to synthetic aperture sonar imaging based on the concept
of compressive sensing and compressive sampling. In compressed sensing, a low-…

Learned representations have been shown to give hopeful results for solving a multitude of
novel learning tasks, even though these tasks may be unknown when the model is being …

Using a genetic algorithm (GA) to evolve ant colony systems (ACS), we have succeeded at
producing evolvable random number generators (RNG) that can be written to hardware. …

Kernel methods are a mathematical tool that provides a generally higher dimensional
representation of given data set in feature space for feature recognition and image analysis …

The consumption of random numbers is universal to the execution of genetic algorithms (GA).
In addition to being used in crossover and mutation subroutines, many GA require virtual …

… The members of the Committee approve the dissertation of Jason C. Isaacs defended on …
An example of an inner product which induces an incomplete metric occurs with the space C[a, …

Purpose While there are advantages and disadvantages to both processed nerve allografts (PNA)
and conduits, a large, well-controlled prospective study is needed to compare the …

The classical paradigm of line and curve detection in images, as prescribed by the Hough
transform, breaks down in cluttered and noisy imagery. In this paper we present an “upgraded” …