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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, as well as biology. In recent years multi-label and semi-supervised versions were also developed to handle video classification problems. Optimum-Path Forest: Theory and Algorithms and Applications presents the principles, algorithms and applications of Optimum-path Forest, giving the theory and state-of-the-art as well as an insight into future directions. The first book on Optimum-path ForestShows how it can be used with Deep LearningGives a wide range of applicationsGives engineers an understanding of the methods, underlying theory, applications of Optimum-Path Forest (OPF)Contains pseudocode
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