We outline the application of a framework for managing information quality (IQ) in proteomics. The approach allows scientists to define the quality characteristics that are of im...
Alun D. Preece, Binling Jin, Paolo Missier, Suzann...
This paper details a visual concept ontology driven knowledge acquisition methodology. We propose to use a visual concept ontology to guide experts in the visual description of the...
—Traditional hierarchical namespaces are not sufficient for representing and managing the rich semantics of today’s storage systems. In this paper, we discuss the principles o...
Zhichen Xu, Magnus Karlsson, Chunqiang Tang, Chris...
In this paper we present a volume data model amenable to querying volumes in databases. Unlike most existing volume models, which are directed towards specific applications (notab...
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...