第 1/1 張圖片
圖片庫
第 1/1 張圖片
有類似物品要出售？
Biometric Authentication : A Machine Learning Approach Hardcover
US $14.99
大約HK$ 116.58
或講價
狀況：
“The book is in like-new condition. I see no obvious flaws with it”
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
運送：
US $4.99（大約 HK$ 38.81） Economy Shipping.
所在地：Carbondale, Illinois, 美國
送達日期：
估計於 11月13日 (星期四)至 11月17日 (星期一)之間送達 運送地點 94104
退貨：
不可退貨.
保障：
請參閱物品說明或聯絡賣家以取得詳細資料。閱覽全部詳情查看保障詳情
（不符合「eBay 買家保障方案」資格）
賣家必須承擔此刊登物品的所有責任。
eBay 物品編號：116075909042
物品細節
- 物品狀況
- 很新
- 賣家備註
- “The book is in like-new condition. I see no obvious flaws with it”
- Subject Area
- Mechanical Engineering
- Book Title
- Biometric Authentication : A Machine Learning Approach Hardcover
- Educational Level
- Adult & Further Education, High School
- Level
- Intermediate, Advanced, Business
- Subject
- Design, Technology
- ISBN
- 9780131478244
關於產品
Product Identifiers
Publisher
Prentice Hall PTR
ISBN-10
0131478249
ISBN-13
9780131478244
eBay Product ID (ePID)
30767666
Product Key Features
Number of Pages
496 Pages
Publication Name
Biometric Authentication : a Machine Learning Approach
Language
English
Subject
General, Computer Vision & Pattern Recognition
Publication Year
2004
Type
Textbook
Subject Area
Law, Computers
Series
Prentice Hall Information and System Sciences Ser.
Format
Hardcover
Dimensions
Item Height
1.5 in
Item Weight
39.4 Oz
Item Length
9.3 in
Item Width
6.9 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2004-012612
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
621.389/28
Table Of Content
Machine learning: driving significant improvements in biometric performance As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains. Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems. Coverage includes: How machine learning approaches differ from conventional template matching Theoretical pillars of machine learning for complex pattern recognition and classification Expectation-maximization (EM) algorithms, Fisher's Linear Discriminant Analysis (LDA), and support vector machines (SVM) Multi-layer learning models and back-propagation (BP) algorithms Probabilistic decision-based neural networks (PDNNs) for face biometrics Flexible structural frameworks for incorporating machine learning subsystems in biometric applications Hierarchical mixture of experts and inter-class learning strategies based on class-based modular networks Multi-cue data fusion techniques that integrate face and voice recognition Application case studies The biometrics industry is expected to grow by 600% in the next four years. Machine learning will help that drive that growth. Whether you're an engineer, scientist, developer, or integrator, this book will help you make the most of it.
Synopsis
Machine learning: driving significant improvements in biometric performance As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains. Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems. Coverage includes: How machine learning approaches differ from conventional template matching Theoretical pillars of machine learning for complex pattern recognition and classification Expectation-maximization (EM) algorithms..., A breakthrough approach to improving biometrics performance Constructing robust information processing systems for face and voice recognition Supporting high-performance data fusion in multimodal systems Algorithms, implementation techniques, and application examples Machine learning: driving significant improvements in biometric performance As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains. Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems. Coverage includes: How machine learning approaches differ from conventional template matching Theoretical pillars of machine learning for complex pattern recognition and classification Expectation-maximization (EM) algorithms and support vector machines (SVM) Multi-layer learning models and back-propagation (BP) algorithms Probabilistic decision-based neural networks (PDNNs) for face biometrics Flexible structural frameworks for incorporating machine learning subsystems in biometric applications Hierarchical mixture of experts and inter-class learning strategies based on class-based modular networks Multi-cue data fusion techniques that integrate face and voice recognition Application case studies
LC Classification Number
TK7882.P3K84 2004
賣家提供的物品說明
賣家信用評價 （124）
- o***o (264)- 買家留下的信用評價。過去 1 年購買已獲認證A+ seller. Item as described, prompt shipping.1st Print - Compact City: A Plan for a Liveable Urban Environment - Dantzig 1974（#115854633591）
- *****- 買家留下的信用評價。過去 6 個月購買已獲認證As described well packaged
- -***d (359)- 買家留下的信用評價。過去 1 個月購買已獲認證Great seller! Many Thanks!
賣家信用評價 （124）
- o***o (264)- 買家留下的信用評價。過去 1 年購買已獲認證A+ seller. Item as described, prompt shipping.1st Print - Compact City: A Plan for a Liveable Urban Environment - Dantzig 1974（#115854633591）
- *****- 買家留下的信用評價。過去 6 個月購買已獲認證As described well packaged
- -***d (359)- 買家留下的信用評價。過去 1 個月購買已獲認證Great seller! Many Thanks!