Optimum-path forest : theory, algorithms and applications / editors, Alexandre Xavier Falcão, João Paulo Papa.

Format:

Book

Contributor:

Falcão, Alexandre Xavier, editor.

Papa, João Paulo, editor.

Language:

English

Subjects (All):

Image processing.

Pattern recognition systems.

Image Processing, Computer-Assisted.

Pattern Recognition, Automated.

Medical Subjects:

Image Processing, Computer-Assisted.

Pattern Recognition, Automated.

Physical Description:

1 online resource (246 pages)

Place of Publication:

London : Academic Press, [2022]

Summary:

"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."-- Title details screen.

Contents:

1. Introduction 2. Theoretical Background and Related Works 3. Real-time application of OPF-based classifier in Snort IDS 4. Optimum-Path Forest and Active Learning Approaches for Content-Based Medical Image Retrieval 5. Hybrid and Modified OPFs for Intrusion Detection Systems and Large-Scale Problems 6. Detecting Atherosclerotic Plaque Calcifications of the Carotid Artery Through Optimum-Path Forest 7. Learning to Weight Similarity Measures with Siamese Networks: A Case Study on Optimum-Path Forest 8. An Iterative Optimum-Path Forest Framework for Clustering 9. Future Trends in Optimum-Path Forest Classification

Notes:

Includes bibliographical references and index.

Description based on print version record and other sources.

ISBN:

0-12-822689-7

OCLC:

1291368595