A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
Scalable Vector Graphics (SVG) has an imaging model similar to that of PostScript and PDF but the XML basis of SVG allows it to participate fully, via namespaces, in generalised X...
Alexander J. Macdonald, David F. Brailsford, Steve...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Coupling recent imaging capabilities with microstructural finite element (microFE) analysis offers a powerful tool to determine bone stiffness and strength. It shows high potentia...
Constantine Bekas, Alessandro Curioni, Peter Arben...
Reasoning about spatial data is a key task in many applications, including geographic information systems, meteorological and fluid flow analysis, computer-aided design, and prote...