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Subjects / keywords: ACADEMIC PRESS; 003.52 P316p

The proposal of this research line is the search for alternatives to the resolution of complex problems where human knowledge should be apprehended in a general fashion. In particular, the activities developed so far can...

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 present an analytical model that extends BSP to cover both oblivious synchronization and group partitioning. There are a few oversimplifications in BSP that make difficult to have accurate predictions. Even if the nu...

Hidden Markov Models are used in different kinds of sequence recognition problems. Specially, Hidden Markov Models are suited for speech/speaker recognition systems. Due to the complexity of the algorithms involved, gene...

Subjects / keywords: TLR3; Innate immune system; Toll-like receptor; RNA silencing; Pattern recognition receptor; Receptor; Cell biology; Signal transducing adaptor protein; TRIF; TLR7; Biology; RNA

The algorithmical architecture and structure is presented for the parallelization of image similarity analysis, based on obtaining multiple digital signatures for each image, in which each "signature" is composed by the ...

. 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 ...