This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
We propose an Isometric Self-Organizing Map (ISOSOM) method for nonlinear dimensionality reduction, which integrates a Self-Organizing Map model and an ISOMAP dimension reduction ...
A model has been developed to study the global complex dynamics of a series of blackouts in power transmission systems [1, 2]. This model has included a simple level of self-organ...
Benjamin A. Carreras, Vickie E. Lynch, Ian Dobson,...
The size, complexity, heterogeneity, and dynamism of largescale computational grids make autonomic grid services and solutions necessary. In particular, grid schedulers must map a...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...