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Ten Lectures Statistical Structural by Schlesinger M I (9 results)
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Hardcover. Condition: Wie neu. The book is in very good condition and does not appear to have been read. Only very unobtrusive shelf wear to the hardback cover. Language: English. Ships from Berlin.
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Ten Lectures on Statistical and Structural Pattern Recognition (Computational Imaging and Vision)
Book 11 of 20: Computational Imaging and VisionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 49.77
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Paperback. Condition: Brand New. 544 pages. 9.21x6.06x1.26 inches. In Stock.
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Condition: New. Print on Demand pp. 548 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 548.
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Ten Lectures on Statistical and Structural Pattern Recognition
Book 11 of 20: Computational Imaging and VisionLanguage: English
Published by Springer Netherlands, 2011
ISBN 10: 9048160278 ISBN 13: 9789048160273
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Preface to the English edition This monograph Ten Lectur,es on Statistical and Structural Pattern Recognition uncovers the close relationship between various well known pattern recognition problems that have so far been considered independent. These relatio.
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Ten Lectures on Statistical and Structural Pattern Recognition
Book 11 of 20: Computational Imaging and VisionLanguage: English
Published by Springer, Springer Sep 2011, 2011
ISBN 10: 9048160278 ISBN 13: 9789048160273
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Preface to the English edition This monograph Ten Lectur,es on Statistical and Structural Pattern Recognition uncovers the close relationship between various well known pattern recognition problems that have so far been considered independent. These relationships became apparent when formal procedures addressing not only known prob lems but also their generalisations were discovered. The generalised problem formulations were analysed mathematically and unified algorithms were found. The book unifies of two main streams ill pattern recognition-the statisti cal a11d structural ones. In addition to this bridging on the uppermost level, the book mentions several other unexpected relations within statistical and structural methods. The monograph is intended for experts, for students, as well as for those who want to enter the field of pattern recognition. The theory is built up from scratch with almost no assumptions about any prior knowledge of the reader. Even when rigorous mathematical language is used we make an effort to keep the text easy to comprehend. This approach makes the book suitable for students at the beginning of their scientific career. Basic building blocks are explained in a style of an accessible intellectual exercise, thus promoting good practice in reading mathematical text. The paradoxes, beauty, and pitfalls of scientific research are shown on examples from pattern recognition. Each lecture is amended by a discussion with an inquisitive student that elucidates and deepens the explanation, providing additional pointers to computational procedures and deep rooted errors.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 548 pp. Englisch.
