Pattern Recognition and Classification
Pattern Recognition and Classification
Pattern Recognition and Classification: An Introduction by Geoff Dougherty
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.
Ebook format: PDF
Ebook page: 203
File size: 6.01 MB
Ebook page: 203
File size: 6.01 MB
$35.00

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