The Meta-Modeling Language is a static object-oriented modeling language whose focus is the declarative definition of languages. It aims to enable the UML metamodel to be precisely...
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
Images are increasingly being embedded in HTML documents on the WWW. Such documents over the WWW essentially provides a rich source of image collection from which users can query....
We present a new approach for faster rendering of large synthetic environments using video-based representations. We decompose the large environment into cells and pre-compute vid...
Andrew Wilson, Ming C. Lin, Boon-Lock Yeo, Minerva...