Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
We present an approach of how to automatically extract an XML document structure from a conceptual data model that describes the content of the document. We use UML class diagrams ...
Collinear arrangement of objects (such as, text elements or continuous lines) is integral part of any office document image, whether structured or unstructured. The ability to ana...
The GDA (Global Document Annotation) project proposes a tag set which allows machines to automatically infer the underlying semantic/pragmatic structure of documents. Its objectiv...