Download the fantastic book titled Pattern Recognition and Classification written by Geoff Dougherty, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Pattern Recognition and Classification", which was released on 28 October 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Pattern Recognition and Classification by Geoff Dougherty PDF
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 later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.
Detail About Pattern Recognition and Classification PDF
- Author : Geoff Dougherty
- Publisher : Springer Science & Business Media
- Genre : Computers
- Total Pages : 203 pages
- ISBN : 1461453232
- Release Date : 28 October 2012
- PDF File Size : 45,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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