Showing posts with label Berlin. Show all posts
Showing posts with label Berlin. Show all posts

Coordination Languages and Models: Second International Conference, COORDINATION'97, Berlin, Germany, September 1-3, 1997, Proceedings (Lecture Notes in Computer Science)

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Coordination Languages and Models: Second International Conference, COORDINATION'97, Berlin, Germany, September 1-3, 1997, Proceedings (Lecture Notes in Computer Science) Overview


This book constitutes the refereed proceedings of the Second International Conference on Coordination Models and Languages, COORDINATION '97, held in Berlin, Germany, in September 1997. The 22 revised full papers and 6 posters presented in the book were carefully reviewed and selected from a total of 69 submissions. Also included are three invited papers. The papers are devoted to an emerging class of languages and models, which have been variously termed coordination languages, configuration languages, and architectural description languages. These formalisms provide a clean separation between software components and their interaction in the overall software organization, which is particularly important for large-scale applications and open systems.


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Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings (Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics)

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Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings (Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics) Overview


This book constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM 2006. The book presents 32 revised full papers and 44 revised poster papers together with 5 invited papers. Topical sections include image filtering, restoration and segmentation, shape analysis and representation, recognition, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, and more.




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