More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of the...
Abstract. We present a method to specify software for a special kind of safetycritical embedded systems, where sensors deliver low-level values that must be abstracted and pre-proc...
In this concise paper, we present the Nested Relational Sequence Model (NRSM), which is an extension of the Nested Relational Data Model in order to handle XML data. We also intro...
A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of th...
Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Cari...
This paper gives an overview of recent work on machine models for processing massive amounts of data. The main focus is on generalizations of the classical data stream model where...