MARC状态：审校 文献类型：西文图书 浏览次数：33
- 题名/责任者:
- Deep biometrics / Richard Jiang, Chang-Tsun Li, Danny Crookes, Weizhi Meng, Christophe Rosenberger, editors
- 出版发行项:
- Cham : Springer, 2020
- ISBN:
- 9783030325824
- ISBN:
- 3030325822
- 载体形态项:
- 322 pages ; 24 cm.
- 附加个人名称:
- Jiang, Fengan, 1986-, editor.
- 附加个人名称:
- Li, Chang-Tsun, editor.
- 附加个人名称:
- Crookes, Danny, 1956-, editor.
- 附加个人名称:
- Meng, Weizhi, 1986-, editor.
- 附加个人名称:
- Rosenberger, Christophe, editor.
- 论题主题:
- Machine learning.
- 中图法分类号:
- TP391.41
- 一般附注:
- Includes index.
- 摘要附注:
- This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it "Deep Biometrics". The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications.
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