English | 2022 | ISBN: 0128226889 | 246 pages | True pdf, epub | 40.75 MB
Optimum-Path Forest: Theory, Algorithms, and Applicationswas 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 ForestShows how it can be used with Deep LearningGives a wide range of applicationsIncludes the methods, underlying theory and applications of Optimum-Path Forest (OPF)

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