In systems consisting of multiple clusters of processors which employ space sharing for scheduling jobs, such as our Distributed ASCI1 Supercomputer (DAS), coallocation, i.e., the...
This paper describes a new method for analysis/synthesis of textures using a non-parametric multi-resolution approach able to reproduce efficiently the generative stochastic proce...
Sebastiano Battiato, Alfredo Pulvirenti, Diego Ref...
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...