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 Scientific Data Mining: A Practical PerspectiveTechnological advances are enabling scientists to collect vast amounts of data in fields such as medicine, remote sensing, astronomy, and high-energy physics. These data arise not only from experiments and observations, but also from computer simulations of complex phenomena. They are often complex, with both spatial and temporal components. As... |  |  Endoscopic and microsurgical anatomy of the cranial base
This atlas illustrates the anatomical structures of the internal and external cranial base and their topography essential to transnasal endoscopic surgical approaches.
Currently, the majority of transnasal microsurgical interventions are largely restricted to hypophyseal interventions. The petrous part of the temporal bone and the... |  |  Web Mining and Social Networking: Techniques and Applications
This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web... |
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 Fundamentals of Digital Image Processing
Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and... |  |  Learning Classifier Systems: From Foundations to Applications
Learning classier systems are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal dierence learning.
From the beginning, classier systems have attracted... |  |  Machine Learning for Vision-Based Motion Analysis: Theory and Techniques
Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video... |
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