We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Effective automatic summarization usually requires simulating asoning such as abstraction or relevance reasoning. In this paper we describe a solution for this type of reasoning in...
Abstract. Fuzzy based models have been used in many areas of research. One issue with these models is that rule bases have the potential for indiscriminant growth. Inference system...
Abstract-- Maintaining large websites and verifying their semantic content is a difficult task. In this paper we propose a framework for syntactic validation, semantic verification...
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...