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A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition
Presentation / Conference Contribution
Craven, M. P., Curtis, K. M., Hayes-Gill, B. H., & Thursfield, C. A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition.

A technique is presented which combines rule-based and neural network pattern recognition methods in an integrated system in order to perform learning and recognition of hand-written characters and gestures in realtime.

The GesRec system is introd... Read More about A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition.

Multiple channel crosstalk removal using limited connectivity neural networks
Presentation / Conference Contribution
Craven, M. P., Curtis, K. M., & Hayes-Gill, B. R. Multiple channel crosstalk removal using limited connectivity neural networks.

Limited connectivity neural network architectures are investigated for the removal of crosstalk in systems using mutually overlapping sub-channels for the communication of multiple signals, either analogue or digital. The crosstalk error is modelled... Read More about Multiple channel crosstalk removal using limited connectivity neural networks.

Pathology
Book Chapter
Behnke, J. M. Pathology. In H. Gilles, & P. Ball (Eds.), Hookworm infections. Elsevier

A Simulator Program for Evaluating and Improving the Nottingham Muse Architecture.
Book
Barrett, N. K., Brailsford, D. F., & Duckworth, R. J. (1986). A Simulator Program for Evaluating and Improving the Nottingham Muse Architecture. Computer Science

This paper describes the modelling and simulation of the Nottingham MUSE (MUltiple Stream Evaluator) machine. MUSE is a data flow machine capable of supporting structured parallel computation. The simulator described in this paper was designed to ena... Read More about A Simulator Program for Evaluating and Improving the Nottingham Muse Architecture..