Optimum-Path Forest

Theory, Algorithms and Applications

By: Falcao, Papa

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Paperback | 24 January 2022 | Edition Number 1

At a Glance

Paperback
244 Pages

Dimensions(cm)
22.86 x 15.24 x 1.3

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Optimum-Path Forest: Theory, Algorithms, and Applications 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)

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