Learning ordered pooling weights in image classification

Spatial pooling is an important step in computer vision systems like Convolutional Neural Networks or the Bag-of-Words method. The spatial pooling purpose is to combine neighbouring descriptors to obtain a single descriptor for a given region (local or global). The resultant combined vector must be as discriminant as possible, in other words, must contain relevant information, while removing irrelevant and confusing details. Maximum and average are the most common aggregation functions used in the pooling step. To improve the aggregation of relevant information without degrading their discriminative power for image classification, we introduce a simple but effective scheme based on Ordered Weighted Average (OWA) aggregation operators. We present a method to learn the weights of the OWA aggregation operator in a Bag-of-Words framework and in Convolutional Neural Networks, and provide an extensive evaluation showing that OWA based pooling outperforms classical aggregation operators

El Robot Moway, una herramienta para el aprendizaje basado en proyectos

En este trabajo se presenta la experiencia docente desarrollada en la asignatura ”Sistemas Inteligentes. Aplicaciones” mediante la metodología de aprendizaje basado en proyectos. Para el desarrollo del proyecto se ha utilizado el robot móvil Moway. Se describen las fases del proyecto, los resultados y las conclusiones obtenidas tras una experiencia de dos años.In this work is presented the teaching experience we have had in the subject ”Intelligent Systems. Applications” using the project-based learning methodology. The projects were developed using the Moway mobile robot. The different steps of the project, the results and the conclusions reached after a two-year experience are described

Assimilation, Hydrothermal Alteration and Graphite Mineralization in the Borrowdale Deposit (UK)

The volcanic-hosted graphite deposit at Borrowdale was formed through precipitation from C-O-H fluids. The G13C data indicate that carbon was incorporated into the mineralizing fluids by assimilation of carbonaceous metapelites of the Skiddaw Group by andesite magmas of the Borrowdale Volcanic Group. The graphite mineralization occurred as the fluids migrated upwards through normal conjugate fractures forming the main subvertical pipe-like bodies. The mineralizing fluids evolved from CO2-CH4-H2O mixtures (XCO2=0.6-0.8) to CH4-H2O mixtures. Coevally with graphite deposition, the andesite and dioritic wall rocks adjacent to the veins were intensely hydrothermally altered to a propylitic assemblage. The initial graphite precipitation was probably triggered by the earliest hydration reactions in the volcanic host rocks. During the main mineralization stage, graphite precipitated along the pipe-like bodies due to CO2 -> C+O2. This agrees with the isotopic data which indicate that the first graphite morphologies crystallizing from the fluid (cryptocrystalline aggregates) are isotopically lighter than those crystallizing later (flakes). Late chlorite-graphite veins were formed from CH4-enriched fluids following the reaction CH4 + O2 -> C+ 2H2O, producing the successive precipitation of isotopically lighter graphite morphologies. Thus, as mineralization proceeded, water-generating reactions were involved in graphite precipitation, further favouring the propylitic alteration