Machine Learning in Computer Vision
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Beschreibung
Researchers in Computer Vision has found, in recent years, that Machine Learning tools are extremely powerful. Thus, all in the CV communication should acquire expertise in ML. Our book is the first and currently only one that presents the most important methods of ML in CV.
Our book presents not only theories, but also algorithms and applications. Thus, it is useful for practitioners as well as graduate students.
Autor*in
Nicu Sebe
Themen in »Machine Learning in Computer Vision«
Bayesian network Variation algorithms brandonwiskunde calculus computer vision facial expression recognition hidden markov model machine learning supervised learning
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"This book comes right on time [...] It is amazing so early in a new field that a book appears which connects theory to algorithms and through them to convincing applications. [...] This book will surely be with us for quite some time to come."
From the foreword by Arnold Smeulders
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