Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
This paper reports on the phenomenon that may be called "derivative meaning," where the basic semantic conventions for certain graphical representation systems give rise...
Content-based retrieval and recognition of graphic images requires good models for symbol representation, able to identify those features providing the most relevant information a...
An unresolved issue in SWRL (the Semantic Web Rule Language) is whether the intended semantics of its RDF representation can be described as an extension of the W3C RDF semantics....
We propose a system which extracts faces and person names from news articles with photos on the Web and associates them automatically. The system detects face images in news photo...