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Pattern recognition in soft computing paradigm /
Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features us...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; New Jersey :
World Scientific,
©2001.
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| Colección: | FLSI soft computing series ;
v. 2. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system. A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subjective information. The other interesting aspect. |
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| Descripción Física: | 1 online resource (xvi, 393 pages) : illustrations, portraits |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9789812811691 9812811699 |