05620nam 22007575 450 991079922890332120240326102932.09783031435676303143567210.1007/978-3-031-43567-6(MiAaPQ)EBC31051230(Au-PeEL)EBL31051230(DE-He213)978-3-031-43567-6(CKB)29510094900041(OCoLC)1416747572(EXLCZ)992951009490004120231229d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHandbook of Face Recognition /edited by Stan Z. Li, Anil K. Jain, Jiankang Deng3rd ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (473 pages)Print version: Li, Stan Z. Handbook of Face Recognition Cham : Springer International Publishing AG,c2024 9783031435669 Part I: Introduction and Background -- 1. Overview on Face recognition -- 2. Historical Developments and Challenges -- 3. Applications -- Part II: Fundamentals of Deep Neural Networks -- 4. Overview on Deep Learning for FR -- 5. Deep Neural Network Architecture Design -- 6. Loss Function Design -- 7. Auto-Encoders -- 8. Convolutional Neural Networks -- 9. Generative Adversarial Networks -- 10. Transfer Learning and Domain Adaptation -- 11. Deep Learning with Big/Small Data -- 12. Model Compression and Speedup -- 13. Programming Platforms for Deep Learning -- Part III: Face Recognition by Deep Neural Networks -- 14. Overview on Face Recognition Methods -- 15. Preprocessing Methods -- 16. Face Localization Detection -- 17. Face Localization Landmark -- 18. Visual Face Recognition -- 19. Multispectral Face Recognition -- 20. Fusion for Face Recognition.The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions. This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational recognition systems. After a thorough introduction, each subsequent chapter focuses on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Topics and features: Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systems Provides comprehensive coverage of face detection, alignment, feature extraction, and recognitiontechnologies, and issues in evaluation, systems, security, and applications Contains numerous step-by-step algorithms Describes a broad range of applications from person verification, surveillance, and security, to entertainment Presents contributions from an international selection of preeminent experts Integrates numerous supporting graphs, tables, charts, and performance data This practical and authoritative reference is an essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry. Dr. Stan Z. Li is Chair Professor of Artificial Intelligence at Westlake University, Hangzhou, China. His Springer titles include Encyclopedia of Biometrics (with Dr. Jain) and Handbook of Remote Biometrics, among others. Dr. Anil K. Jain is a University Distinguished Professor in the Department of Computer Science and Engineering at Michigan State University, USA. His Springer titles include Introduction to Biometrics and Handbook of Fingerprint Recognition, among others. Jiankang Deng is a researcher and honorary lecturer at the Department of Computing, Imperial College London, UK. He is one of the main contributors to the widely used open-source platform Insight face.Biometric identificationMachine learningImage processingDigital techniquesComputer visionData protectionPattern recognition systemsForensic sciencesBiometricsMachine LearningComputer Imaging, Vision, Pattern Recognition and GraphicsData and Information SecurityAutomated Pattern RecognitionForensic ScienceBiometric identification.Machine learning.Image processingDigital techniques.Computer vision.Data protection.Pattern recognition systems.Forensic sciences.Biometrics.Machine Learning.Computer Imaging, Vision, Pattern Recognition and Graphics.Data and Information Security.Automated Pattern Recognition.Forensic Science.006.42Li Stan Z28533Jain Anil K8853Deng Jiankang1586129MiAaPQMiAaPQMiAaPQBOOK9910799228903321Handbook of Face Recognition3872404UNINA03226nam 22006015 450 991036725140332120251010082410.03-030-28064-010.1007/978-3-030-28064-2(CKB)4100000009382594(DE-He213)978-3-030-28064-2(MiAaPQ)EBC5916267(PPN)248604589(EXLCZ)99410000000938259420191001d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierManagerial Decision Making A Holistic Approach /by Jeffrey Yi-Lin Forrest, Jeananne Nicholls, Kurt Schimmel, Sifeng Liu1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XX, 302 p. 53 illus., 4 illus. in color.) 3-030-28063-2 Chapter 1. Facing the Challenge Holistically -- Chapter 2. Basics of Systems Science -- Chapter 3. The Dynamics of Market Competition -- Chapter 4. Market Entry and Market Partition -- Chapter 5. What is Happening?- Chapter 6. Successfully Ride Waves of Transient Competitive Advantages -- Chapter 7. Effects of Strategies -- Chapter 8. Impacts of Culture, Structure and Leadership -- Chapter 9. The Procedure that is Supported by Solid Theories -- Chapter 10. International Trade and Firm performance -- Chapter 11 Trade Dumping and Anti-dumping.This book develops a general theory of managerial decision making on the basis of a few elementary postulates. It employs logic as the method of reasoning, systems science in general and the systemic YoYo Model in particular, as the intuitive playground. By doing so, the authors take individually background-based guesswork out of processes of decision making. All established conclusions are expected to be generally employable in real-life applications. At the same time, the book is user friendly to a wide range of audience, coincides with people's intuition, and provides applicable results and insights for practical purposes.Strategic planningLeadershipOperations researchIndustrial organizationBusiness Strategy and LeadershipOperations Research and Decision TheoryOrganizationStrategic planning.Leadership.Operations research.Industrial organization.Business Strategy and Leadership.Operations Research and Decision Theory.Organization.658.4092Forrest Jeffrey Yi-Linauthttp://id.loc.gov/vocabulary/relators/aut768255Nicholls Jeananneauthttp://id.loc.gov/vocabulary/relators/autSchimmel Kurtauthttp://id.loc.gov/vocabulary/relators/autLiu Sifengauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910367251403321Managerial Decision Making2195624UNINA