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Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics -a very active area of research in which few up-to-date reference works are available. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. It includes extensive case studies and an online C-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of fields in which spatial data analysis is important.

Gaussian Markov random fields.

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Markov random fields --- Markov random fields. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- 519.217 --- Markov processes --- 519.217 Markov processes --- Fields, Markov random --- Random fields

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This book contains the invited reviewed session papers solicited for presentation as key papers at the Second Asian Conference on Computer Vision, ACCV '95, held in December 1995 in Singapore. The fifteen leading researchers acting as session organizers at the ACCV '95 solicited and reviewed a unique collection of 56 invited papers presented in this volume. Together, these papers competently reflect the state-of-the-art developments in computer vision and image processing; the author index of the volume reads like a who-is-who in the field. The papers are devoted to both theoretical and practical issues relevant to researchers and professionals in the area.

Markov random fields --- Computer vision --- Congresses. --- Mathematical models --- Computer vision. --- Computer graphics. --- Image Processing and Computer Vision. --- Computer Graphics. --- Signal, Image and Speech Processing. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Digital techniques --- Computer vision - Congresses.