| 書目名稱 | Pattern Recognition and Classification | | 副標(biāo)題 | An Introduction | | 編輯 | Geoff Dougherty | | 視頻video | http://file.papertrans.cn/743/742600/742600.mp4 | | 概述 | A comprehensive yet accessible introduction to the core concepts behind pattern recognition.Presents the funadmental concepts of supervised and unsupervised classification in an informal treatment, al | | 圖書封面 |  | | 描述 | The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. .Pattern Recognition and Classification .presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the laterchapters. .This book is suitable for undergraduates and graduates studying pattern recognition and machine learning. | | 出版日期 | Book 2013 | | 關(guān)鍵詞 | Bayesian Decision Theory; Clustering Techniques; Feature Extraction; Machine Learning; Neural Networks; O | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-5323-9 | | isbn_softcover | 978-1-4939-5335-6 | | isbn_ebook | 978-1-4614-5323-9 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2013 |
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