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El eje central de la XII edición del congreso (COMPDES2019) ha sido nuevamente el Internet de las Cosas (Internet of Things). Este eje se tomado como orientación general de los trabajos con las siguientes líneas temá...

. We demonstrate a novel method of interpreting images using an Active Appearance Model (AAM). An AAM contains a statistical model of the shape and grey-level appearance of the object of interest which can generalise to ...

Subjects / keywords: Naturalness; Representation (politics); Categorization; Computer science; Artificial intelligence; Envelope (radar); Object (grammar); Set (abstract data type); Pattern recognition (psychology); Scene statistics; Segment...

Subjects / keywords: Principal component analysis; Dimensionality reduction; Representation (politics); Curse of dimensionality; Process (computing); Computer science; Reduction (mathematics); Component (thermodynamics); Data mining; Mathema...

Subjects / keywords: Random forest; Mathematics; AdaBoost; Statistics; Tree (set theory); Generalization; Support vector machine; Generalization error; Measure (data warehouse); Artificial intelligence; Pattern recognition (psychology); Comp...

The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain ...