The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.

Fingerprints and Other Ridge Skin Impressions is the first book of its kind to cover all aspects of fingerprint science. Featuring the latest findings and techniques, the text includes the formation of friction ridges on the skin, the deposition of latent prints, the detection and enhancement of such marks, recording of fingerprint evidence, and fingerprint identification itself. Recent advances in statistical interpretation, fingerprint detection techniques and computer technology are also discussed in detail. This is an ideal text for practitioners in the field, legal professionals, police, and students of forensic science at the undergraduate and postgraduate level.

This encyclopedia, edited by the deputy director of the National Science Foundation’s Division of Information and Intelligent Systems, compiles 186 articles on the maturing field of human-computer interaction (HCI). Topics cover applications (e.g., Classrooms, Law enforcement, Telecommuting), computer hardware (Keyboard, Liquid crystal displays, Mouse), fields of study (Ergonomics, Sociology and HCI), methods (Gesture recognition, Icons, Natural-language processing), societal issues (Cybersex, Workforce), and other subjects (Arpanet, Mosaic, Website design).

E-Health Systems Diffusion and Use: The Innovation, the User and the Use IT Model offers an overview of the use and diffusion of information systems in the health care sector with particular attention to the role of the user. This book starts with classic contributions and modifications and then continues with contemporary contributions, which include both qualitative and quantitative approaches.



• Provides a comprehensive description of the utility model, offering guidance on design, deployment and maintenance issues, and a strong section on service level agreements (SLAs).
• Explains in detail how to improve efficiencies and achieve cost reduction in the IT department.
• Adopts a thorough approach, taking into account current baselines, phasing, task involved, success factors and best practice principles.
• Presents a method rooted in theory, yet broad-based and practical, illustrated throughout with examples and real-world case studies.

This invaluable text provides CIOs, CFOs, system administrators, IT policy makers and professionals looking to develop utility computing practices in their organizations, as well as researchers in computer science, statisticians, engineers, and graduate students, with an in-depth understanding of the concepts and practicalities of utility computing.