In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...
The exploration in many scientific disciplines (e.g., High-Energy Physics, Climate Modeling, and Life Sciences) involves the production and the analysis of massive data collection...
system during a single processor cycle. But we can abstract out properties of the sequences and focus on the properties of interest. The "specifications" given here are i...
In this paper we describe the architecture and implementation of a digital library framework for scientific data, particularly imagery, with a focus on support for content-based se...
Lawrence D. Bergman, Vittorio Castelli, Chung-Shen...
Increasing prevalence of large-scale distributed monitoring and computing environments such as sensor networks, scientific federations, Grids etc., has led to a renewed interest in...