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The Dissimilarity Representation For Pattern Recognition : Foundations And Applications.
This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical a...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
World Scientific,
2005.
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| Colección: | Series in machine perception and artificial intelligence ;
v. 64. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition. Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually modeled in the form of graphs or diagrams. While this is useful for communication between experts, such representation is difficult to combine and in. |
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| Descripción Física: | 1 online resource (634 pages) |
| ISBN: | 9789812703170 9812703179 |