Programa de Doctorat en Informàtica: Recent submissions
Now showing items 41-60 of 94
Contact driven robotic grasping
As a result, in this thesis we provide a complete implementation of a manipulation system that can operate in unstructured environments. However, there is room for improvement in all the components presented and many ...
Extremely Low and Variable Bandwidth Image Compression with Region of Interest Applied to Real Time Underwater Robotic Interventions
A new fast and progressive set-partitioning image compression parallel algorithm with Region Of Interest (ROI) which outputs an embedded bit oriented rate-distortion optimized stream and addresses very low bit rate compression ...
Framework for the Implementation of a Big Data Ecosystem in Organizations
The core of this Ph.D. thesis is the development of a framework that serves as a guide for implementing ecosystems based on Big Data and Web 2.0 technologies in organizations. Unlike existing frameworks, this framework not ...
Multithreaded Dense Linear Algebra on Asymmetric Multi-core Processors
This dissertation targets two important problems. The first one is the design of low-level DLA kernels for architectures comprising two (or more) classes of cores. The main question we have to address here is how to attain ...
Análisis automático del patrón de la marcha mediante visión por computador: problemas, métodos y aplicaciones
Automatic gait recognition has become a research topic of interest due to its advantages versus other biometrics. However, the procedure for its analysis is still an open issue. Firstly, in this thesis, a method to construct ...
Visibility in underwater robotics: Benchmarking and single image dehazing
Dealing with underwater visibility is one of the most important challenges in autonomous underwater robotics. The light transmission in the water medium degrades images making the interpretation of the scene difficult and ...
Tecnologías emergentes para la captura y visualización de imagen 3D
En el mundo en el que vivimos se reconocen tres dimensiones espaciales. Sin embargo, los sensores más extendidos son bidimensionales y la tecnología 3D presenta numerosas limitaciones que impiden un uso más extendido. En ...
Biotea-Biolinks: A semantic infrastructure for exploring and analyzing scientific publications
Background Despite the dissemination of scientific publications, most of their information remains locked up in discrete documents, not always interconnected or machine-readable. This, together with the continuous growth ...
Metodología de predicción de rendimiento de aplicaciones MapReduce iterativas sobre una nube híbrida
El cloud-bursting (despliegue de nube híbrida que complementa temporalmente máquinas virtuales locales con máquinas vituales remotas) ha experimentado una rápida adopción entre los usuarios de análisis de big data. Sin ...
Performance and Energy Optimization of the Iterative Solution of Sparse Linear Systems on Multicore Processors
En esta tesis doctoral se aborda la solución de sistemas dispersos de ecuaciones lineales utilizando métodos iterativos precondicionados basados en subespacios de Krylov. En concreto, se centra en ILUPACK, una biblioteca ...
Consumo energético de métodos iterativos para sistemas dispersos en procesadores gráficos
La resolución de sistemas de ecuaciones lineales dispersos de gran dimensión es una de las operaciones más comunes en aplicaciones científicas y de ingeniería. El aumento de sus tamaños propicia el desarrollo de técnicas ...
Scalable methods to analyze Semantic Web data
Semantic Web data is currently being heavily used as a data representation format in scientific communities, social networks, business companies, news portals and other domains. The irruption and availability of Semantic ...
Characterisation and adaptive learning in interactive video retrieval
El objetivo principal de esta tesis consiste en utilizar eficazmente los modelos de tópicos latentes para afrontar el problema de la recuperación automática de vídeo. Concretamente, se pretende mejorar tanto a nivel de ...
Enhance the value of participative geospatial data, modelling using point pattern processes
Esta tesi tracta sobre la participació de les persones en la creació de dades espacials de forma més o menys voluntària i en l'anàlisi d'aquestes dades utilitzant patrons de processos puntuals i geoestadística. Les dades ...
Ontology refinement for improved information retrieval in the biomedical domain
Este trabajo de tesis doctoral se centra en el uso de ontologías de dominio y su refinamiento enfocado a la recuperación de la información. El dominio seleccionado ha sido el de la Biomedicina, que dispone de una extensa ...
Resolución de sistemas de ecuaciones lineales banda sobre procesadores actuales y arquitecturas multihebra. Aplicaciones en control.
Los sistemas de ecuaciones lineales o problemas de mínimos cuadrados aparecen en un amplio abanico de aplicaciones científico-técnicas. En ocasiones la matriz ligada al problema presenta una estructura banda o bien es una ...
Matrix computations on graphics processors and clusters of gpus
Las arquitecturas destinadas a computación de altas prestaciones (HPC) basadas en aceleradores gráficos (GPUs) se han convertido en los últimos años en una alternativa extendida que combina altas prestaciones y un bajo ...
Distributed Mobile Robot Localization and Communication System for Special Interventions
This thesis focuses on the development of a distributed mobile robot localization and communication system for special interventions like those carried out by fire-fighters in fire ground search and rescue. The use case ...
Qualitative Distances and Qualitative Description of Images for Indoor Scene Description and Recognition in Robotics
<p>The automatic extraction of knowledge from the world by a robotic system as human beings interpret their environment through their senses is still an unsolved task in Artificial Intelligence. A robotic agent is in contact ...
Ensembles of Artificial Neural Networks: Analysis and Development of Design Methods
<p>This thesis is focused on the analysis and development of Ensembles of Neural Networks. An ensemble is a system in which a set of heterogeneous Artificial Neural Networks are generated in order to outperform the Single ...
