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Now showing items 1-9 of 9
Variable selection for data aggregated from different sources with group of variable structure
(2019-11-14)
During the last decades, the amount of available genetic data on populations has grown drastically. From one side, a refinement of chemical technologies have made possible the extraction of the human genome of individuals ...
Cloud point labelling in optical motion capture systems
(2019-02-15)
This Thesis deals with the task of point labeling involved in the overall workflow of Optical Motion Capture Systems. Human motion capture by optical sensors produces at each frame snapshots of the motion as a cloud of ...
K-means for massive data
(2019-04-30)
The K-means algorithm is undoubtedly one of the most popular clustering analysis techniques, due to its easiness in the implementation, straightforward parallelizability and competitive computational complexity, when ...
Application of machine learning techniques to weather forecasting
(2019-02-11)
El pronóstico del tiempo es, incluso hoy en día, una actividad realizada principalmente por humanos. Si bien las simulaciones por computadora desempeñan un papel importante en el modelado del estado y la evolución de la ...
Ubiquitous volume rendering in the web platform
(2019-04-26)
The main thesis hypothesis is that ubiquitous volume rendering can be achieved using WebGL. The thesis enumerates the challenges that should be met to achieve that goal. The results allow web content developers the integration ...
Contributions to virtual reality
(2019-01-18)
The thesis contributes in three Virtual Reality areas: ¿ Visual perception: a calibration algorithm is proposed to estimate stereo projection parameters in head-mounted displays, so that correct shapes and distances can ...
Camera perspective distortion in model-based visual localisation.
(2019-02-22)
This thesis starts with a proposal for a collaborative global visual localization system. Then, it centres in a specific visual localisation problem: perspective distortion in template matching.The thesis enriches 3D point ...
Paradigmas de aprendizaje automático aplicados a la teledetección: imágenes RGB e imágenes multiespectrales.
(2019-07-10)
La tendencia actual en el uso de sensores para recopilar datos georreferenciados con una alta redundancia, se basa en la aplicación de métodos robustos y automatizados para extraer información geoespacial. Los resultados ...
Methodological contributions by means of machine learning methods for automatic music generation and classification
(2019-10-04)
Ikerketa lan honetan bi gai nagusi landu dira: musikaren sorkuntza automatikoa eta sailkapena. Musikaren sorkuntzarako bertso doinuen corpus bat hartu da abiapuntu moduan doinu ulergarri berriak sortzeko gai den metodo bat ...