Neural Networks for Vision, Speech and Natural Language

Part 1 Vision: image feature location in multi-resolution images using a hierarchy of multi-layer perceptrons, J. Vincent et al; training multi-layer perceptrons for facial feature location - a case study, Jon Waite; the detection of eyes in facial images using radial basis functions, R. Debenham and S. Garth; training and testing of neural net window operators on spatiotemporal image sequences, M. Wright; a neural network feature detector using a multi-resolution pyramid, C. Hand et al; image classification using Gabor representations with a neural net, P. Lisboa. Part 2 Speech: spoken alphabet recognition using multi-layer perceptrons, Philip Woodland; spoken independent vowel recognition, L. Smith and C. Tang; dissection of perceptron structures in speech and speaker recognition, J. Mason and E. Andrews; segmental sub-word unit classification using a multi-layer perceptron, S. Smyth. Part 3 Natural language: a single layer higher order neural net and its applications to context free grammar recognition, P. Wyard and C. Nightingale; functional compositionality and soft preference rules, N. Sharkey; applications of multi-layer perceptrons in text-to-speech synthesis, W. Ainsworth and N. Warren. Part 4 Implementation: finite word length, integer arithmetic multi-layer perceptron modelling for hardware realization, J. Vincent; a VSLI architecture for implementing neural networks with on-chip propagation algorithm learning, D. Myers et al; an opto-electronic neural network processor, N. Barnes et al. Part 5 Architectures: a dynamic topology net, C. Nightingale; the stochastic search network, J. Bishop and P. Torr; node sequence networks, R. Linggard; some dynamical properties of neural networks, S. Olafsson.