A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
In this paper, we present a new color image segmentation scheme based on unsupervised pixel classification that works even when there is not a one-to-one correspondence between th...
Ludovic Macaire, Nicolas Vandenbroucke, Jack-G&eac...
Parallel I/O in cluster computing is one of the most important issues to be tackled as clusters grow larger and larger. Many solutions have been proposed for the problem and, whil...
R. Kassick, Caciano Machado, Everton Hermann, Rafa...
Results of any clustering algorithm are highly sensitive to features that limit their generalization and hence provide a strong motivation to integrate shape information into the ...
Mohammed Ameer Ali, Gour C. Karmakar, Laurence S. ...
We examine the analysis of hyperspectral data produced by the Hyperspectral Core Imager of AngloGold Ashanti. The dimension of the data is reduced using diffusion maps and the dat...