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Acceleration of finite field arithmetic with an application to reverse engineering genetic networks
(2008)
Finite field arithmetic plays an important role in a wide range of applications. This research is originally motivated by an application of computational biology where genetic networks are modeled by means of finite fields. ...
A framework for ranking data sources and query processing sites in database middleware systems
(2009)
This dissertation presents a novel approach to the problem of _nding the characteristics of the data sources and query processing sites in a distributed database system. We model the network as a graph with nodes representing ...
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, ...
Geometric scale-space framework for the analysis of hyperspectral imagery
(2007)
This work introduces a framework for a fast and algorithmically scalable multiscale representation and segmentation of hyperspectral imagery. The framework is based on the scale-space representation generated by geometric ...
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 ...
Scheduling divisible tasks under production or utilization constraints
(2009)
Several problems in science and engineering admit algorithmic solutions that demand a large amount of computing time. Among these applications are genotype sequencing, gene sequence comparison, protein folding, quantum ...
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 ...
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 ...
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 ...