This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
The relation between atomistic structure, architecture, molecular weight and material properties is a basic concern of modern soft material science. This by now goes far beyond st...
Matej Praprotnik, Christoph Junghans, Luigi Delle ...
An accurate cost-model that accounts for dataset size and structure can help optimize geoscience data analysis. We develop and apply a computational model to estimate data analysi...
In this report, we consider whether statistical regularities in natural images might be exploited to provide an improved selection criterion for interest points. One approach that ...
The overall problem addressed in this paper is to improve semantic interoperability in heterogeneous systems. Normally, the semantics of data is carried by ontology (concept model)...