We describe a compression technique for semistructured documents, called SCMPPM, which combines the Prediction by Partial Matching technique with Structural Contexts Model (SCM) t...
Gibbs random eld model with multiple pairwise pixel interactions describes each type of spatially homogeneous image textures in terms of a pixel neighbourhood and Gibbs potentials...
The SLIF project combines text-mining and image processing to extract structured information from biomedical literature. SLIF extracts images and their captions from published pap...
There is a growing need, both for use within corporate intranets and within the rapidly evolving World Wide Web, to develop tools that are able to retrieve relevant textual inform...
L. J. Brown, Mariano P. Consens, Ian J. Davis, Chr...
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...