The Optimum-Path Forest (OPF) classifier was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions.
- Presents the first book on Optimum-path Forest
- Shows how it can be used with Deep Learning
- Gives a wide range of applications
- Includes the methods, underlying theory and applications of Optimum-Path Forest (OPF)
The Optimum-Path Forest (OPF) classifier was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions.
- Presents the first book on Optimum-path Forest
- Shows how it can be used with Deep Learning
- Gives a wide range of applications
- Includes the methods, underlying theory and applications of Optimum-Path Forest (OPF)
![Optimum-Path Forest: Theory, Algorithms, and Applications](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Optimum-Path Forest: Theory, Algorithms, and Applications
244![Optimum-Path Forest: Theory, Algorithms, and Applications](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Optimum-Path Forest: Theory, Algorithms, and Applications
244eBook
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Product Details
ISBN-13: | 9780128226896 |
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Publisher: | Elsevier Science |
Publication date: | 01/06/2022 |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 244 |
File size: | 28 MB |
Note: | This product may take a few minutes to download. |