One of the main challenges of fuzzy community detection problems is to be able to measure the quality of a fuzzy partition. In this paper, we present an alternative way of measuring the quality of a fuzzy community detection output based on n-dimensional grouping and overlap functions. Moreover, the proposed modularity measure generalizes the classical Girvan-Newman (GN) modularity for crisp co...

Timeline Generation, through generating news timelines from the massive data of news corpus, aims at providing readers with summaries about the evolvement of an event. It is a new challenge of summarization that combines salience ranking with novelty detection. For a long-term public event, the main topic usually includes many different sub-topics at varying epochs, which also has its own evolv...

We show that the massless (ultraviolet regularized) Gross-Neveu model, in d 3 dimensions and any number of avors (N = 1; 2; 3; : : :), does not exhibit the mass generation mechanism if the quartic term coupling constant is suuciently small. In particular, extending previous results (rigorously established for N = 1 1,2]) we prove that the two-point function can be written in terms of a converge...

Studies of population genetics increasingly use next-generation DNA sequencing to identify microsatellite loci in nonmodel organisms. There are, however, relatively few studies that validate the feasibility of transitioning from marker development to experimental application across populations and species. North American coralsnakes of the Micrurus fulvius species complex occur in the United St...

Here we provide insight into the ability of our RankIQA approach to learn to discriminate distortions, results illustrating the convergence properties of our fast Siamese backpropagation technique, and experimental results on additional IQA datasets. Learning from Rankings and IQA discrimination. We trained our network on the Places2 [12] dataset until convergence, but performed no fine-tuning ...

Following the recent work of Sznitman [20], we investigate the microscopic picture induced by a random walk trajectory on a cylinder of the form GN ×Z, where GN is a large finite connected weighted graph, and relate it to the model of random interlacements on infinite transient weighted graphs. Under suitable assumptions, the set of points not visited by the random walk until a time of order |G...

Glomerulonephritis [GN] is one of the common acquired pediatric renal disorders encountered in clinical practice. The clinical manifestations include gross or microscopic hematuria, proteinuria, and nephrotic syndrome. Renal dysfunction and hypertension may also be present in many patients. Etiopathogenesis of GN can be idiopathic in a large majority, while some may result from infections or kn...

Vehicular Ad hoc NETworks (VANETs) allow the exchange of information between vehicles to improve road safety. In addition, vehicles can be connected to the Internet through gateways placed alongside the roads, which allow drivers to use common Internet services and new applications specifically oriented to them. The ETSI TC ITS has standardized the architecture and the communication protocols f...

We report on a technique for the radar ship signal extraction from contaminated sea clutter. Group normalization (GN) is presented to overcome that conventional wavelet packet coefficients not appropriately represent the strength of signal. The l entropy is extended to l one to improve the performance. The symmetric, complex wavelet packets are used for radar signal processing.

1 The Global Change Institute, The University of Queensland, St Lucia, QLD, Australia, 2 ARC Centre for Excellence in Coral Reef Studies, The University of Queensland, St Lucia, QLD, Australia, 3 School of Biological Sciences, The University of Queensland, St Lucia, QLD, Australia, 4 CSIRO Oceans and Atmosphere, Queensland Biosciences Precinct, St Lucia, QLD, Australia, 5 Coral Reef Watch, Nati...