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Human Face Recognition Using Third-Order Synthetic Neural Networks

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Description

This text explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (for example, alphanumeric characters, aircraft silhouettes), and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem. This text serves as a reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.
Release date Australia
June 30th, 1997
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Undergraduate
Illustrations
XV, 123 p.
Pages
123
Dimensions
156x234x9
ISBN-13
9780792399575
Product ID
3959220

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