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 Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)
A constraint is a restriction on a space of possibilities; it is a piece of knowledge that
narrows the scope of this space. Because constraints arise naturally in most areas of
human endeavor, they are the most general means for formulating regularities that
govern our computational, physical, biological, and social worlds. Some... |  |  Data Analysis and Classification: Proceedings of the 6th Conference
This volume contains revised versions of selected papers presented at the biennial
meeting of the Classification and Data Analysis Group (CLADAG) of the Italian
Statistical Society, which was held in Macerata, September 12–14, 2007. Carlo
Lauro chaired the Scientific Programme Committee and Francesco Palumbo chaired
the Local... |  |  Principles of Computer Organization and Assembly Language
This is a book on the organization and architecture of theJava Virtual Machine(JVM), the
software at the heart of the Java language and is found inside most computers,Web browsers,
PDAs, and networked accessories. It also covers general principles of machine organization and
architecture, with llustrations from other popular (and... |
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 Logical Foundations of Computer Science: International Symposium, LFCS 2007
The Symposium on Logical Foundations of Computer Science series provides a forum for the fast-growing body of work in the logical foundations of computer science, e.g., those areas of fundamental theoretical logic related to computer science. The LFCS series began with “Logic at Botik,” Pereslavl-Zalessky, 1989, which was... |  |  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... |  |  Human Recognition at a Distance in Video (Advances in Pattern Recognition)
Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that... |
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