1995, Rohwer, R.J., Fourth International Conference on Artificial Neural Networks: Two Bayesian treatments of the n-tuple recognition method, Aston Univ., Birmingham [1]:
Two probabilistic interpretations of the n-tuple recognition method are put forward in order to allow this technique to be analysed with the same Bayesian methods used in connection with other neural network models.
1998, S.M. Lucas, Vision, Image and Signal Processing, IEE Proceedings: Continuous n-tuple classifier and its application to real-time face recognition[2], Dept. of Electron. Syst. Eng., Essex Univ., Colchester:
The continuous n-tuple classifier was proposed by the author as a new type of n-tuple classifier that is ideally suited to problems where the input is continuous or multi-level rather than binary.
1999, D. Chan,1 S. Hockaday, R.D. Tillett, and L.G. Ross, 7th International Conference on Image Processing and its Applications: A trainable n-tuple pattern classifier and its application for monitoring fish underwater[3]:
Therefore an image processing technique that utilises a trainable n-tuple pattern recognition algorithm is under investigation.
