We exploit the fact that qualitative Interval Algebra (IA) network problems are finite domain CSPs. In the first part of the paper, we show how to convert a qualitative IA network ...
This paper argues for a two-level theory of semantics as opposed to a one-level theory, based on the example of the system of temporal and durationM connectives. Instead of identi...
We present a general theory of Gifford-style type and effect annotations, where effect annotations are sets of effects. Generality is achieved by recourse to the theory of algebra...
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only on...
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...