We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
This paper will describe the creation of an ontology to model information contained in historical documents. It will describe the structure of the RDF/OWL ontology and how the mode...
In this paper we present an original method of analysing the newlyrevised UML2.0 activity diagrams. Our analysis method builds on our formal interpretation of these diagrams with ...
C. Canevet, Stephen Gilmore, Jane Hillston, Le&ium...