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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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The Cognitive Dynamics of Computer ScienceA groundbreaking, unifying theory of computer science for low-cost, high-quality software
The Cognitive Dynamics of Computer Science represents the culmination of more than thirty years of the author's hands-on experience in software development, which has resulted in a remarkable and sensible... | | Popular Psychology: An EncyclopediaThe mysteries of the human mind and human behavior have been a source of fascination and speculation throughout recorded history, and surely, for a long time before that. Attempts to explain human thoughts, emotions, and behavior, especially when they are disordered, go back just as long; and have often involved magic, evil spirits, invisible... | | |
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