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Neural Networks for Vision, Speech and Natural Language

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Table of Contents

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    Book Overview
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    Chapter 1 Introduction Neural Networks for Vision, Speech and Natural Language
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    Chapter 2 Neutral Networks for Vision: An Introduction
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    Chapter 3 Image Feature Location in Multi-Resolution Images Using a Hierarchy of Multilayer Perceptrons
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    Chapter 4 Training Multilayer Perceptrons for Facial Feature Location: A Case Study
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    Chapter 5 The Detection of Eyes in Facial Images Using Radial Basis Functions
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    Chapter 6 A Neural Network Feature Detector Using a Multi-Resolution Pyramid
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    Chapter 7 Training and Testing of Neural Net Window Operators on Spatiotemporal Image Sequences
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    Chapter 8 Image Classification Using Gabor Representations with a Neural Net
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    Chapter 9 Neural Networks for Speech Processing: An Introduction
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    Chapter 10 Spoken Alphabet Recognition Using Multilayer Perceptrons
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    Chapter 11 Speaker Independent Vowel Recognition
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    Chapter 12 Dissection of Perceptron Structures in Speech and Speaker Recognition
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    Chapter 13 Segmental Sub-Word Unit Classification Using a Multilayer Perceptron
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    Chapter 14 Connectionist Natural Language Processing: An Introduction
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    Chapter 15 A Single Layer Higher Order Neural Net and its Applications to Context Free Grammar Recognition
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    Chapter 16 Functional Compositionality and Soft Preference Rules
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    Chapter 17 Applications of Multilayer Perceptrons in Text-To-Speech Synthesis Systems
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    Chapter 18 Hardware Implementation of Neural Networks: An Introduction
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    Chapter 19 Finite Wordlength, Integer Arithmetic Multilayer Perceptron Modelling for Hardware Realization
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    Chapter 20 A VLSI Architecture for Implementing Neural Networks with On-Chip Backpropagation Learning
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    Chapter 21 An Opto-Electronic Neural Network Processor
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    Chapter 22 Architectures: An Introduction
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    Chapter 23 A Dynamic Topology Net
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    Chapter 24 The Stochastic Search Network
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    Chapter 25 Node Sequence Networks
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    Chapter 26 Some Dynamical Properties of Neural Networks
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Title
Neural Networks for Vision, Speech and Natural Language
Published by
Springer, Dordrecht, January 1992
DOI 10.1007/978-94-011-2360-0
ISBNs
978-9-40-105041-8, 978-9-40-112360-0
Editors

R. Linggard, D. J. Myers, C. Nightingale

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Researcher 1 33%
Lecturer 1 33%
Readers by discipline Count As %
Mathematics 2 67%
Engineering 1 33%