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Skeleton based visual pattern recognition. Applications to tabletop interaction
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2009-12-10)
[EN]The practical context of this thesis work is natural interaction in Interactive
Multimedia Tabletops using visually recognized hand gestures. An
interaction language has been de ned for the speci c characteristics ...
Contributions to Ensemble Classifiers with Image Analysis Applications
(2015-12-18)
Ésta tesis tiene dos aspectos fundamentales, por un lado, la propuesta denuevas arquitecturas de clasificadores y, por otro, su aplicación a el análisis deimagen.Desde el punto de vista de proponer nuevas arquitecturas de ...
Contributions to the study of Austism Spectrum Brain conectivity
(2021-06-17)
Autism Spectrum Disorder (ASD) is a largely prevalent neurodevelopmental condition with a big social and economical impact affecting the entire life of families. There is an intense search for biomarkers that can be assessed ...
Contributions to the analysis and segmentation of remote sensing hyperspectral images
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2011-06-13)
This PhD Thesis deals with the segmentation of hyperspectral images from the point of view of Lattice Computing. We have introduced the application of Associative Morphological Memories as a tool to detect strong lattice ...
Detecting, counting and sizing bluefin tuna schools using medium range sonars of baitboats in the Bay of Biscay.
(2017-07-17)
This study presents a methodology for the automated analysis of commercial medium-range sonar signals for detecting, counting and sizing bluefin tuna (Tunnus thynnus) schools at the Bay of Biscay. Data can be recorded from ...
Contributions from computational intelligence to healthcare data processing
(2016-12-23)
The increasing ability to gather, store and process health care information, through the electronic health records and improved communication methods opens the door for new applications intended to improve health care in ...
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 ...
Theoretical and methodological advances in semi-supervised learning and the class-imbalance problem.
(2018-11-30)
Este trabajo se centra en la generalización teórica y práctica de dos situaciones desafiantes y conocidas del campo del aprendizaje automático a problemas de clasificación en los cuales la suposición de tener una única ...
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 ...
Efficient meta-heuristics for spacecraft trajectory optimization
(2021-03-11)
Uno de los problemas más difíciles de la ingeniería espacial es la optimización de la trayectoria de las naves espaciales. Dicha optimización puede formularse como un problema de optimización que dependiendo del tipo de ...