—Fast sensory-motor processing is challenging when using traditional frame-based cameras and computers. Here we show how a hybrid neuromorphic-procedural system consisting of an ...
Market-based resource management is becoming an emerging issue as the utilization of Grid computing is growing rapidly, particularly in the business field. In this paper, we prov...
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed “manifold-motivated...
Abstract. Discovering global models on a dataset (e.g., classifiers, clusterings, summaries) has attracted a lot of attention and many approaches can be found in the literature. H...
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 ...