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£104 today · previous high £104 · all-time low £98

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

Amazon

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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)

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 January 2022
Listed Since
11 January 2020

Barcode

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