—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Although they have potential, to date location-based information systems have not radically improved the way we interact with our surroundings. To study related issues, we develop...
Pamela J. Ludford, Dan Frankowski, Ken Reily, Kurt...
Communication networks are growing exponentially, and new services and applications are being introduced unceasingly. To meet the demands of these services and applications, curre...
In this paper we present new methods for fast justification and propagation in the implication graph (IG) which is the core data structure of our SAT based implication engine. As ...
We propose a new set of rotationally and translationally invariant features for image or pattern recognition and classification. The new features are cubic polynomials in the pix...