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.
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Produktdetaljer
ISBN
9781461453239
Publisert
2017
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter