In this paper we will describe the instruments that comprise the RadMAP system, the effort to curate and provide access to multi-sensor data, and some initial results on the fusion of contextual and radiological data.
Process observed information (low-level contextual data) through aggregation and fusion to generate a high-level abstraction of context 4.
Novelties of this work include the combined use of contextual information and multi-modal fusion, and the development of a new representation for providing motion distribution information to HMMs.
Techniques, such as data/image fusion, expert systems, and contextual classification methods, have also been explored.
By combining gamma-ray and neutron detector systems with data from contextual sensors, the system enables the fusion of data from multiple sensors into novel data products.
A multi-layered, Service Oriented Architecture (SOA) based system, which integrates several sub-systems, such as sensor data fusion, context modelling and contextual data information provision has been developed.
The purpose of higher level fusion is to produce contextual understanding of the states of the environment and prediction of their impact in relation to specific goals of decision makers.
To investigate if other AAtRS could function in such a capacity we hoped to use contextual information from predicted operons and domain fusions to identify potential candidates.
Handwriting recognition is based on a fusion of analytic and holistic methods together with contextual processing based on trigrams.
The result is obtained by iteratively fusion of the pixel likelihood information and the pixel contextual information until convergence.
We then examined the contextual information in the form of conserved gene neighborhoods and gene fusions of the prokaryotic versions as this has proved to be a useful tool for deciphering the function of uncharacterized gene products [ 50, 51].
