Optimum-Path Forest: Theory, Algorithms, and Applications 1st edition

Optimum-Path Forest: Theory, Algorithms, and Applications 1st edition- Ebook Instant Download/Delivery ISBN(s): 9780128226889,0128226889,9780128226896, 0128226897

Product details:

• ISBN 10: 0128226897
• ISBN 13: 9780128226896,
• Author: Alexandre Xavier Falcao, João Paulo Papa

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.

Table contents:

Chapter 1: Introduction

Chapter 2: Theoretical background and related works

Chapter 3: Real-time application of OPF-based classifier in Snort IDS

Chapter 4: Optimum-path forest and active learning approaches for content-based medical image retrieval

Chapter 5: Hybrid and modified OPFs for intrusion detection systems and large-scale problems

Chapter 6: Detecting atherosclerotic plaque calcifications of the carotid artery through optimum-path forest

Chapter 7: Learning to weight similarity measures with Siamese networks: a case study on optimum-path forest

Chapter 8: An iterative optimum-path forest framework for clustering

Chapter 9: Future trends in optimum-path forest classification

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