Pattern recognition and image preprocessing /
Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on d...
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| Format: | eBook |
| Language: | English |
| Published: |
New York :
Marcel Dekker,
©2002.
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| Edition: | 2nd ed., rev. and expanded. |
| Series: | Signal processing and communications ;
14. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection, novel computer system architectures, proven algorithms for solutions to common roadblocks in data processing, computing models including the Hamming net, the Kohonen self-organizing map, and the Hopfield net, detailed appendices with data sets illustrating k. |
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| Physical Description: | 1 online resource (xvi, 698 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 645-689) and index. |
| ISBN: | 0585418071 9780585418070 0824744098 9780824744090 9780824706593 0824706595 9780203903896 0203903897 9781135561079 1135561079 9781135561024 1135561028 9781135561062 1135561060 |