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Optimum-Path Forest: Theory, Algorithms, and Applications

PUBLISHER Academic Press (01/24/2022)
PRODUCT TYPE Paperback (Paperback)

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.

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Product Details
ISBN-13: 9780128226889
ISBN-10: 0128226889
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 244
Carton Quantity: 32
Product Dimensions: 6.00 x 0.51 x 9.00 inches
Weight: 0.73 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
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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, 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.

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Your Price  $153.45
Paperback