Biometric recognition--the automated recognition of individuals based on their behavioral and biological characteristic--is promoted as a way to help identify terrorists, provide better control of access to physical facilities and financial accounts, and increase the efficiency of access to services and their utilization. Biometric...

Nowadays, computationalmethodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D...

Computer and Information Sciences is a unique and comprehensive review of advanced technology and research in the field of Information Technology. It provides an up to date snapshot of research in Europe and the Far East (Hong Kong, Japan and China) in the most active areas of information technology, including Computer Vision, Data...

The book is intended for advanced students in physics, mathematics, computer science, electrical engineering, robotics, engine engineering and for specialists in computer vision and robotics on the techniques for the development of vision-based robot projects. It focusses on autonomous and mobile service robots for indoor work, and teaches...

Genetic programming has emerged as an important computational methodology for solving complex problems in a diversity of disciplines. In an effort to foster collaborations and facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming, the annual Genetic Programming Theory and Practice...

The IFIP World Computer Congress (WCC) is one of the most important conferences in the area of computer science at the worldwide level and it has a federated structure, which takes into account the rapidly growing and expanding interests in this area. Informatics is rapidly changing and becoming more and more connected to a number of human...

I use the term logical and relational learning to refer to the subfield of artificial intelligence, machine learning and data mining that is concerned with learning in expressive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all...

I knew the Internet before it got famous. There were places but no paths, no maps, no search engines. Entry required a key in the form of an IP address and an incantation in the language of UNIX. It was a small world that felt big because it was so easy to get lost in the shadowy realm of texts and data, completely devoid of color....

The Information Systems Examination Board (ISEB) of BCS (www.bcs.org.uk/iseb) instigated the Foundation Certificate in Software Testing in 1998; since then over 40,000 Foundation Certificates have been awarded. An intermediate level qualification was introduced in 2007 as a step towards the more advanced Practitioner...

In the past, many tumor marker laboratory tests have not been sensitive enough for the very early detection of cancer. However, many of them have nonetheless proved useful in monitoring therapy, following the course of the tumor, and predicting prog­ nosis. Today, cancer may be viewed as a genetic disease with various specific chromo­...

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups,...