In hyperspectral imaging, hundreds of images are taken at narrow and contiguous spectral bands providing us with high spectral resolution spectral signatures that can be used to discriminate between objects. In many ...

There are two general problems related to finite dynamical systems (FDS): the analysis and the synthesis (also known as the reverse engineering) problems. In the former, we are interested in uncovering the sequential ...

The structure tensor for vector valued images is most often defined as the average of the scalar structure tensors in each band. The problem with this definition is the assumption that all bands provide the same amount ...

This thesis describes the formulation of a Computational Signal Processing (CSP) modeling framework for the analysis of underwater acoustic signals used in the search, detection, estimation, and tracking (SDET) operations ...

Unsupervised unmixing analysis aims to extract the basic materials, the so called endmembers, and their abundances from a hyperspectral image. Unmixing is usually performed by pixels-only techniques that do not take into ...

The goal of this thesis is to take a step to understanding the resource management of massively and scattered distributed systems. A framework to predict grid resources behavior and leverage the execution of long running ...

Temporal datasets provide records of the evolution and dependencies of random variables over time. Recently, there has been an increase in the application of temporal datasets in areas such as intrusion detection, fraud ...

Many modern applications of automatic document classification require learning accurately with little training data. Addressing the need to reduce the manual labeling process, the semi-supervised classification technique ...

DNA local sequence alignments provide biological insights that can help scientists identify genetic diseases, map newly obtained sequences to known genomes, or identify common genomic patterns on same species. Even when ...

Wireless Sensor Network (WSN) is a wireless networking technology that can facilitate many important applications in our real life, from environmental monitoring to smart grid, and thus is a key component in the emerging ...