Optimum-Path Forest (eBook, ePUB)

Theory, Algorithms, and Applications
Redaktion: Xavier Falcao, Alexandre; Papa, João Paulo

• Format: ePub

Produktbeschreibung

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)

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 244
• Erscheinungstermin: 6. Januar 2022
• Englisch
• ISBN-13: 9780128226896
• Artikelnr.: 63272487