Now showing items 30-49 of 83

    Efficient algorithms for the realistic simulation of fluids 

    Ojeda Contreras, Jesús (Date of defense: 2013-05-28)

    Nowadays there is great demand for realistic simulations in the computer graphics field. Physically-based animations are commonly used, and one of the more complex problems in this field is fluid simulation, more so if ...

    El Mètode dels esdeveniments per a l'Actualització de vistes en bases de dades deductives 

    Teniente, Ernest (Date of defense: 1992-06-19)

    En esta tesis se presenta un nuevo método, llamado método de los eventos, para la actualización de vistas en bases de datos deductivas. Este método aumenta la base de datos con un conjunto de reglas, llamadas reglas de ...

    Empirical machine translation and its evaluation 

    Giménez Linares, Jesús Ángel (Date of defense: 2008-07-02)

    Aquesta tesi estudia l'aplicació de les tecnologies del Processament del Llenguatge Natural disponibles actualment al problema de la Traducció Automàtica basada en Mètodes Empírics i la seva Avaluació.<br/><br/>D'una banda, ...

    Enhanced perception in volume visualization 

    Díaz Iriberri, José (Date of defense: 2013-04-26)

    Due to the nature of scientic data sets, the generation of convenient visualizations may be a difficult task, but crucial to correctly convey the relevant information of the data. When working with complex volume models, ...

    Enriching unstructured media content about events to enable semi-automated summaries, compilations, and improved search by leveraging social networks 

    Steiner, Thomas (Date of defense: 2014-05-20)

    (i) Mobile devices and social networks are omnipresent Mobile devices such as smartphones, tablets, or digital cameras together with social networks enable people to create, share, and consume enormous amounts of media ...

    Estimació dels paràmetres de models ARMA (P,Q) mitjançant algorismes de filtratge òptim 

    Muñoz Gràcia, Maria Pilar (Date of defense: 1988-01-01)

    El objetivo del trabajo era sintetizar un filtro no lineal optimo para la estimación de parámetros de modelos arma. El interés de un filtro de este estilo reside en elhecho que permite evaluar exactamente el numero mínimo ...

    Exploiting distributional semantics for content-based and context-aware recommendation 

    Codina Busquet, Victor (Date of defense: 2014-06-13)

    During the last decade, the use of recommender systems has been increasingly growing to the point that, nowadays, the success of many well-known services depends on these technologies. Recommenders Systems help people to ...

    Exploration of customer churn routes using machine learning probabilistic models 

    Garcia Gomez, David (Date of defense: 2014-04-10)

    The ongoing processes of globalization and deregulation are changing the competitive framework in the majority of economic sectors. The appearance of new competitors and technologies entails a sharp increase in competition ...

    Factoid question answering for spoken documents 

    Comas Umbert, Pere R. (Date of defense: 2012-05-12)

    In this dissertation, we present a factoid question answering system, specifically tailored for Question Answering (QA) on spoken documents. This work explores, for the first time, which techniques can be robustly adapted ...

    Fast photorealistic techniques to simulate global illumination in videogames and virtual environments 

    Méndez Feliu, Àlex (Date of defense: 2007-06-15)

    Per al càlcul de la il·luminació global per a la síntesi d'imatges d'escenaris virtuals s'usen mètodes físicament acurats com a radiositat o el ray-tracing. Aquests mètodes són molt potents i capaços de generar imatges de ...

    From the i* diversity to a common interoperability framework 

    Cares Gallardo, Carlos (Date of defense: 2012-09-20)

    Since the i* framework emerged in the requirements engineering community in the mid-90s, different research groups have proposed variations to the modelling language proposed in the i* framework (¿the i* language¿). There ...

    Generative manifold learning for the exploration of partially labeled data 

    Cruz Barbosa, Raúl (Date of defense: 2009-10-01)

    In many real-world application problems, the availability of data labels for supervised learning is rather limited. Incompletely labeled datasets are common in many of the databases generated in some of the currently most ...

    Geometric constraint solving in a dynamic geometry framework. 

    Hidalgo García, Marta R. (Date of defense: 2013-12-02)

    Geometric constraint solving is a central topic in many fields such as parametric solid modeling, computer-aided design or chemical molecular docking. A geometric constraint problem consists of a set geometric objects on ...

    Global illumination techniques for the computation of hight quality images in general environments 

    Pérez Cazorla, Frederic (Date of defense: 2003-05-26)

    The objective of this thesis is the development of algorithms for the simulation of the light transport in general environments to render high quality still images. To this end, first we have analyzed the existing methods ...

    Heterogeneous neural networks: theory and applications 

    Belanche Muñoz, Lluís A. (Lluís Antoni) (Date of defense: 2000-07-18)

    Aquest treball presenta una classe de funcions que serveixen de models neuronals generalitzats per ser usats en xarxes neuronals artificials. Es defineixen com una mesura de similitud que actúa com una definició flexible ...

    Information theoretic refinement criteria for image synthesis 

    Rigau Vilalta, Jaume (Date of defense: 2006-11-17)

    Aquest treball està enmarcat en el context de gràfics per computador partint de la intersecció de tres camps: rendering, teoria de la informació, i complexitat.<br/><br/>Inicialment, el concepte de complexitat d'una escena ...

    Learning finite-state machines: statistical and algorithmic aspects 

    Balle Pigem, Borja de (Date of defense: 2013-07-12)

    The present thesis addresses several machine learning problems on generative and predictive models on sequential data. All the models considered have in common that they can be de ned in terms of nite-state machines. On ...

    Learning with Feed-forward Neural Networks: Three Schemes to Deal with the Bias/Variance Trade-off 

    Romero Merino, Enrique (Date of defense: 2004-11-30)

    In terms of the Bias/Variance decomposition, very flexible (i.e., complex) Supervised Machine Learning systems may lead to unbiased estimators but with high variance. A rigid model, in contrast, may lead to small variance ...

    Lightweight and static verification of UML executable models 

    Planas Hortal, Elena (Date of defense: 2013-03-21)

    Executable models play a key role in many development methods (such as MDD and MDA) by facilitating the immediate simulation/implementation of the software system under development. This is possible because executable ...

    Meta-alignment of biological sequences 

    Blanco García, Enrique (Date of defense: 2006-07-21)

    Les seqüències són una de les estructures de dades més versàtils que existeixen. De forma relativament senzilla, en una seqüència de símbols es pot emmagatzemar informació de qualsevol tipus. L'anàlisi sistemàtic de ...