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{ "item_title" : "Optimum-Path Forest", "item_author" : [" Alexandre Xavier Falcao", "João Paulo Papa "], "item_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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/12/822/688/0128226889_b.jpg", "price_data" : { "retail_price" : "155.00", "online_price" : "155.00", "our_price" : "155.00", "club_price" : "155.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Optimum-Path Forest|Alexandre Xavier Falcao

Optimum-Path Forest : Theory, Algorithms, and Applications

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Overview

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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Details

  • ISBN-13: 9780128226889
  • ISBN-10: 0128226889
  • Publisher: Academic Press
  • Publish Date: January 2022
  • Dimensions: 9 x 6 x 0.51 inches
  • Shipping Weight: 0.73 pounds
  • Page Count: 244

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