[PDF.19kj] Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science)

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

[PDF.fm05] Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science)

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 | #7302081 in Books |  Springer |  1997-06-30 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.21 x.38 x6.14l,.84 | File type: PDF | 123 pages

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||0 of 0 people found the following review helpful.| Five Stars|By A bookworm|Very good read. Well written. Very Interesting concepts.|0 of 1 people found the following review helpful.| Well recommended ...|By A Customer|Well written and clear material.
As a researcher in dynamical systems, I found this book a very interesting introduction to neural nets.
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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. ...

You easily download any file type for your device.Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science)   |  Okechukwu A. Uwechue, Abhijit S. Pandya. A good, fresh read, highly recommended.

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