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Unsupervised unmixing of hyperspectral imagery using the constrained positive matrix factorization
(2007)
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 ...
On some algorithms for reverse engineering certain finite dynamical systems
(2005)
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 ...
An adaptive spectrally weighted structure tensor applied to tensor anisotropic nonlinear diffusion for hyperspectral images
(2012)
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 ...
An information-based complexity approach to acoustic linear stochastic time-variant systems
(2013)
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 based on multiscale representation
(2013)
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 ...
Adaptive orchestration of resources in distributed wide area large scale infrastructures
(2009)
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 ...
New families of 3D watermarks
(2020-07)
In recent years researchers have developed families of 3D watermarks that are built by composition, using a base array and a periodic sequence of shifts. Multidimensional arrays that are constructed by composition of a ...
Spatial low-rank tensor factorization for hyperspectral image unmixing
(2021-05-14)
This work presents a method for hyperspectral image unmixing based on nonnegative
tensor factorization. While traditional approaches may process spectral
information without regard for spatial structures in the data set, ...
Temporal outlier detection using dynamic Bayesian networks and probabilistic association rules
(2019-12-10)
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 ...
Semi-supervised document classification using ontologies
(2011)
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 ...