Neural Networks for Vision, Speech and Natural Language

Introduction: neural networks for vision, speech and natural language.- Introduction: neural networks for vision, speech and natural language.- 1 Vision.- Neural networks for vision: an introduction.- 1 Image feature location in multi-resolution images using a hierarchy of multilayer perceptrons.- 2 Training multilayer perceptrons for facial feature location: a case study.- 3 The detection of eyes in facial images using radial basis functions.- 4 A neural network feature detector using a multi-resolution pyramid.- 5 Training and testing of neural net window operators on spatiotemporal image sequences.- 6 Image classification using Gabor representations with a neural net.- 2 Speech.- Neural networks for speech processing: an introduction.- 7 Spoken alphabet recognition using multilayer perceptrons.- 8 Speaker independent vowel recognition.- 9 Dissection of perceptron structures in speech and speaker recognition.- 10 Segmental sub-word unit classification using a multilayer perceptron.- 3 Natural Language.- Connectionist natural language processing: an introduction.- 11 A single layer higher order neural net and its applications to context free grammar recognition.- 12 Functional compositionality and soft preference rules.- 13 Applications of multilayer perceptrons in text-to-speech synthesis systems.- 4 Implementation.- Hardware implementation of neural networks: an introduction.- 14 Finite wordlength, integer arithmetic multilayer perceptron modelling for hardware realization.- 15 A VSLI architecture for implementing neural networks with on-chip backpropagation learning.- 16 An opto-electronic neural network processor.- 5 Architectures.- Architectures: an introduction.- 17 A dynamic topology net.- 18 The stochastic search network.- 19 Node sequence networks.- 20 Some dynamical properties of neural networks.