Search
Now showing items 1-10 of 210
A framework for pervasively shared situational awareness in mobile ad hoc environments
(2009)
This dissertation presents a novel approach to sharing situational awareness among a group of geographically dispersed mobile networked devices. We divide our efforts into two parts: getting the information to the right ...
Contributions to parallel and distributed computing in knowledge discovery and data mining
(2006)
Recently databases are increasing continuously without bound, due to new data acquisition technologies. One challenge is how to gain knowledge from these large data sets. In this thesis, we analyze and improve the algorithmic ...
On applications of rough sets theory to knowledge discovery
(2007)
Knowledge Discovery in Databases (KDD) is the nontrivial extraction of implicit, previously unknown and potentially useful information from data. Data preprocessing is a step of the KDD process that reduces the complexity ...
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 object-oriented framework for hp-adaptive discontinuous galerkin methods
(2006)
In this work, we consider second order elliptic problems arising in the modeling of single phase flows in porous media in 2D and in the analysis of transverse electromagnetic modes in wave guides using a discontinuous ...
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 ...
Generalizaciones de minimos cuadrados parciales con aplicación en clasificacion supervisada
(2004)
The development of technologies such as microarrays has generated a large amount of data. The main characteristic of this kind of data it is the large number of predictors (genes) and few observations (experiments). Thus, ...
High-level partitioning of discrete signal transforms for distributed hardware architectures
(2007)
Discrete signal transforms (DSTs) have numerous applications in a wide spectrum of scientific fields. To attain superior performance, the size and composition of these algorithms frequently require implementation to ...
Métodos para mejorar la calidad de un conjunto de datos para descubrir conocimiento
(2007)
Today, data generation is growing exponentially in both directions; instances (rows) and features (columns). This causes that many datasets can not be analyzed without preprocessing. The large size of the dataset to be ...