Many neural networks, such as the complex cortical networks of the mammalian brain, are organized in multiple clusters, with many connections within but few links between clusters...
In this paper we show that complex (scale-free) network topologies naturally emerge from hyperbolic metric spaces. The hyperbolic geometry can be used to facilitate maximally efļ¬...
Fragkiskos Papadopoulos, Dmitri V. Krioukov, Mari&...
A binary constraints network consists of a set of n variables, deļ¬ned on domains of size at most d, and a set of e binary constraints. The binary constraint satisfaction problem ...
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and diļ¬cult to detect owing to the complex tempo...
This paper addresses the segmentation from an image of entities that have the form of a `network', i.e. the region in the image corresponding to the entity is composed of bran...
Ian H. Jermyn, Josiane Zerubia, Ting Peng, V&eacut...