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In this paper, the development of a human-like intelligent system, named AKEOS (Automatic Knowledge Extraction from Online Sources), is introduced. AKEOS can automatically harvest knowledge from online resources to build a Bayesian network inference engine. Starting from a single event, the AKEOS system performs unsupervised knowledge extraction to convert unstructured text into structured knowledge...
We propose a novel nonparametric Bayesian model, dual hierarchical Dirichlet processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, in an unsupervised way. In our approach, trajectories are treated as documents and observations of an object on a trajectory are treated as words in a document. Trajectories are clustered into different activities. Abnormal...
In this paper, we present two novel methods to handle the fusion of multiple Bayesian Network knowledge fragments which we termed N-Combinator and N-Clone. In DSO National Laboratories, we have developed a cognition based dynamic reasoning machine called D'Brain capable of performing high level data fusion. Knowledge is encapsulated in D'Brain as Bayesian Networks knowledge fragments. D'Brain is dynamic...
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