{
"item_title" : "Optimum-Path Forest",
"item_author" : [" Alexandre Xavier Falcao", "João Paulo Papa "],
"item_description" : "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.",
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Optimum-Path Forest : Theory, Algorithms, and Applications
Overview
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.
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Details
- ISBN-13: 9780128226889
- ISBN-10: 0128226889
- Publisher: Academic Press
- Publish Date: January 2022
- Dimensions: 9 x 6 x 0.51 inches
- Shipping Weight: 0.73 pounds
- Page Count: 244
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