Téléchargez le livre : Optimum-Path Forest

Optimum-Path Forest

Theory, Algorithms, and Applications

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Éditeur :

Academic Press


Paru le : 2022-01-06



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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. - 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)
Pages
244 pages
Collection
n.c
Parution
2022-01-06
Marque
Academic Press
EAN papier
9780128226889
EAN EPUB SANS DRM
9780128226896
Informations sur l'ebook
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Prix
142,42 €

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