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Unsupervised classification of spectral libraries provides groups of spectra which may be of use in material detection or identification processes for hyperspectral imagery. It can also be used to discover associations between materials' spectra that can help analysts to interpret spectral data. We use the assumption of a Gaussian Mixture Model, combined with a Bayesian Information Criterion (BIC)...
This report summarizes the findings of an exploratory team of the North Atlantic Treaty Organization (NATO) Information Systems Technology panel into Content-Based Analytics (CBA). The team carried out a technical review into the current status of theoretical and practical developments of methods, tools and techniques supporting joint exploitation of multimedia data sources. In particular, content-based...
Clusters of computers have emerged as cost-effective parallel and/or distributed computing systems for computationally intensive tasks. Normally, clusters are composed of high performance computational nodes linked together by low-latency/high-bandwidth interconnection networks. With the advent of modern optical networking technologies, geographically distant clusters can be federated to yield systems...
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