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Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science, 410) by Okechukwu A. Uwechue, Abhijit S. Pandya (auth.) is a nonfiction available to read on EtoBox.

What is Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science, 410) about?

__Human Face Recognition Using Third-Order Synthetic Neural Networks__ 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 (e.g., 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. __Human Face Recognition Using Third-Order Synthetic Neural Networks__ serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.

Who reads Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science, 410)?

Author

Okechukwu A. Uwechue, Abhijit S. Pandya (auth.)

Publisher

Springer Science+Business Media, LLC

Published

1997

Language

EN

ISBN

9781461368328

Category

nonfiction

Subjects

Computer Science, Science, Technology