Search
Now showing items 1-10 of 32
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 ...
Local alignment on highly unbalanced dna sequence lengths by reducing search space
(2016)
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 ...
A novel framework of structured measurement matrix for compressed sensing in wireless sensor networks
(2018-05)
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 ...
Spatially adaptive constrained non negative matrix factorization for hyperspectral unmixing
(2014)
This dissertation proposes a spatially adaptive constrained Nonnegative Matrix Factorization (sacNMF) for unmixing of hyperspectral imagery. The image is decomposed into spectrally homogeneous regions using quadtree region ...
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, ...
Using deduplication to improve storage efficiency in distributed file systems
(2018)
Storage systems contain redundant copies of data such as identical files or within sub-file regions. Using deduplication technology, we can take advantage of this re-dundancy and reduce the space needed to store files in ...
Mathematical modeling and finite element computation of cosserat elastic plates
(2013)
In this dissertation the mathematical modeling of Cosserat elastic plates and their Finite Element computation are presented. The mathematical model for bending of Cosserat elastic plates, which assumes physically and ...
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 ...