Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
A central requirement for achieving the vision of run-time discovery and dynamic composition of services is the provision of appropriate descriptions of the operation of a service,...
Ronald Ashri, Grit Denker, Darren Marvin, Mike Sur...
In this paper, we describe a set of 3D and 4D visualization tools and techniques for CORIE, a complex environmental observation and forecasting system (EOFS) for the Columbia Rive...
Abstract—A novel approach for reconstruction of sparse highresolution data from lower-resolution dense spatio-temporal data is introduced. The basic idea is to compute the dense ...
The research discussed here is a component of a larger study to explore the accessibility and usability of spatial data presented through multiple sensory modalities including hap...