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Machine Learning in Computer Vision (Computational Imaging and Vision) by Michele Maggiore is a nonfiction available to read on EtoBox.
What is Machine Learning in Computer Vision (Computational Imaging and Vision) about?
Annotation "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 The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather
Who reads Machine Learning in Computer Vision (Computational Imaging and Vision)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Michele Maggiore
- Publisher
- Springer
- Published
- 2005
- Language
- EN
- ISBN
- 9789400789005
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Science
- Updated
- 2026-03-24
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