Bibliothèque de L'IMIST/CNRST

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Signal processing for computer vision par Granlund,, Gosta Publication : [S.l.] Springer 1900 . 437 p. , Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. Signal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing. 23 cm. Date : 1900 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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Statistical methods in counterterrorism : game theory, modeling, syndromic surveillance, and biometric authentication.   Publication : [S.l.] : Springer, 2006 . 292 p. ; , All the data was out there to warn us of this impending attack, why didn't we see it?" This was a frequently asked question in the weeks and months after the terrorist attacks on the World Trade Center and the Pentagon on September 11, 2001. In the wake of the attacks, statisticians moved quickly to become part of the national response to the global war on terror. This book is an overview of the emerging research program at the intersection of national security and statistical sciences. A wide range of talented researchers address issues in - Syndromic Surveillance---How do we detect and recognize bioterrorist events? - Modeling and Simulation---How do we better understand and explain complex processes so that decision makers can take the best course of action? - Biometric Authentication---How do we pick the terrorist out of the crowd of faces or better match the passport to the traveler? - Game Theory---How do we understand the rules that terrorists are playing by? This book includes technical treatments of statistical issues that will be of use to quantitative researchers as well as more general examinations of quantitative approaches to counterterrorism that will be accessible to decision makers with stronger policy backgrounds. Dr. Alyson G. Wilson is a statistician and the technical lead for DoD programs in the Statistical Sciences Group at Los Alamos National Laboratory. Dr. Gregory D. Wilson is a rhetorician and ethnographer in the Statistical Sciences Group at Los Alamos National Laboratory. Dr. David H. Olwell is chair of the Department of Systems Engineering at the Naval Postgraduate School in Monterey, California. 24 cm. Date : 2006 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Juridiques, Economiques et de Gestion (1),

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Symbolic projection for image information retrieval and spatial reasoning / par Chang, S. K. Publication : . 1 online resource (xii, 324 pages, 2 pages of plates) : Disponibilité :  http://www.sciencedirect.com/science/book/9780121680305,

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