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...
| Основен автор: | Pe·kalska, Elzbieta. |
|---|---|
| Други автори: | Duin, Robert P. W. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
New Jersey ; London :
World Scientific,
℗♭2005.
|
| Серия: |
Series in machine perception and artificial intelligence ;
v. 64. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=174590 |
| Подобни документи: |
Print version::
Dissimilarity representation for pattern recognition. |
Съдържание:
- Preface; Notation and basic terminology; Abbreviations; Contents; 1. Introduction; 1.1 Recognizing the pattern; 1.2 Dissimilarities for representation; 1.3 Learning from examples; 1.4 Motivation of the use of dissimilarity representations; 1.5 Relation to kernels; 1.6 Outline of the book; 1.7 In summary; PART 1 Concepts and theory; 2. Spaces; 3. Characterization of dissimilarities; 4. Learning approaches; 5. Dissimilarity measures; PART 2 Practice; 6. Visualization; 7. Further data exploration; 8. One-class classifiers; 9. Classification; 10. Combining.