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Optimum-Path Forest

Theory, Algorithms, and Applications

1st Edition - January 6, 2022

Editors: Alexandre Xavier Falcao, João Paulo Papa

Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 2 6 8 8 - 9
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 2 6 8 9 - 6

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… Read more

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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.