Optimum-path forest. Theory, algorithms, and applications. (English) Zbl 1477.68013
Amsterdam: Elsevier/Academic Press (ISBN 978-0-12-822688-9/pbk; 978-0-12-822689-6/ebook). xv, 227 p. (2022).
Publisher’s description: Optimum-Path Forest: Theory, Algorithms, and Applications 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.
The articles of this volume will not be indexed individually.
The articles of this volume will not be indexed individually.
MSC:
68-06 | Proceedings, conferences, collections, etc. pertaining to computer science |
62-06 | Proceedings, conferences, collections, etc. pertaining to statistics |
62H30 | Classification and discrimination; cluster analysis (statistical aspects) |
68T05 | Learning and adaptive systems in artificial intelligence |
92C55 | Biomedical imaging and signal processing |
00B15 | Collections of articles of miscellaneous specific interest |