Rosa Ma Alsina-Pagès 1,*, Marcos Hervás 1, Ferran Orga 1, Joan Lluís Pijoan 2, David Badia 2 and David Altadill 3 1 GTM—Grup de Recerca en Tecnologies Mèdia, La Salle—Universitat Ramon Llull, C/Quatre Camins, 30, 08022 Barcelona, Spain; [email protected] (M.H.); [email protected] (F.O.) 2 GR-SETAD, La Salle—Universitat Ramon Llull, C/Quatre Camins, 30, 08022 Barcelona, Spain; joanp@salleurl...

Topographic structural complexity of a reef is highly correlated to coral growth rates, coral cover and overall levels of biodiversity, and is therefore integral in determining ecological processes. Modeling these processes commonly includes measures of rugosity obtained from a wide range of different survey techniques that often fail to capture rugosity at different spatial scales. Here we sho...

The open-loop Threshold Model, proposed by Tong [23], is a piecewise-linear stochastic regression model useful for modeling conditionally normal response time-series data. However, in many applications, the response variable is conditionally non-normal, e.g. Poisson or binomially distributed. We generalize the open-loop Threshold Model by introducing the Generalized Threshold Model (GTM). Speci...

Visualizing large data by the SOM and GTM methods – what are we obtaining? Anna Bartkowiak University of Wrocław, Institute of Computer Science, Przesmyckiego 20, Wrocław 51–151, PL Abstract We consider the visualization of multivariate data yielded by the SOM and the GTM methods. Special emphasis is put on the position of outliers and extreme points. When evaluating four data sets, it is found...

Today, pipe systems are the most common facilities to convey various fluids from one place to another. In such facilities faults like leaks lead to advert consequences such as economic losses and social health threats. The fact that early detection of leaks can play a prominent role in reducing the amount of these undesired impacts has absorbed noticeable attention from researchers to this fiel...

The open-loop Threshold Model, proposed by Tong [30], is a piecewise-linear stochastic regression model useful for modeling conditionally normal response time-series data. However, in many applications, the response variable is conditionally non-normal, e.g. Poisson or binomially distributed. We generalize the open-loop Threshold Model by introducing the Generalized Threshold Model (GTM). Speci...