Pattern Recognition and Neural Networks
 |
|
Описание:
Pattern recognition has long been studied in relation to many different (and mainly unrelated) applications, such as remote sensing, computer vision, space research, and medical imaging. In this book Professor Ripley brings together two crucial ideas in pattern recognition; statistical methods and machine learning via neural networks. Unifying principles are brought to the fore, and the author gives an overview of the state of the subject. Many examples are included to illustrate real problems in pattern recognition and how to overcome them.This is a self-contained account, ideal both as an introduction for non-specialists readers, and also as a handbook for the more expert reader.Похожие книги
 | Progress in Pattern Recognition Автор: Editors Sameer Singh, Maneesha Singh Год: 2007 |
 | Statistical pattern recognition Автор: Andrew R. Webb Год: 2002 |
| Template matching techniques in computer vision: theory and practice Автор: Roberto Brunelli Год: 2009 |
| Toward category-level object recognition Автор: Ponce Jean Год: 2007 |
| Distant speech recognition Автор: Matthias Wolfel,John McDonough Год: 2009 |