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Applied Pattern Recognition by Horst Bunke (51 results)
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Condition: Good. Volume 91. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9783540768302.
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New.
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Applied Pattern Recognition (Studies in Computational Intelligence, 91)
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Applied Graph Theory in Computer Vision and Pattern Recognition (Studies in Computational Intelligence, 52)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New. pp. xii + 246 1st Edition.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. xii + 246.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. pp. xii + 246.
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Condition: New. pp. 276.
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Applied Pattern Recognition (Studies in Computational Intelligence, 91)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New. pp. 276.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Seller: Scarthin Books ABA, ILAB., Cromford, United Kingdom
Seller rating 3 out of 5 stars
First Edition
Book Hardcover. Condition: As New. No Jacket. 1st Edition. Springer, 2007. 1st Edition . As New/No Jacket. Book still in original shrink-wrap.
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Condition: As New. Unread book in perfect condition.
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Applied Graph Theory in Computer Vision and Pattern Recognition (Studies in Computational Intelligence)
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3642087647 ISBN 13: 9783642087646
Language: English
Paperback. Condition: Brand New. 276 pages. 9.25x6.10x0.63 inches. In Stock.
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Applied Graph Theory in Computer Vision and Pattern Recognition (Studies in Computational Intelligence, 52)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Taschenbuch. Condition: Neu. Applied Graph Theory in Computer Vision and Pattern Recognition | Abraham Kandel (u. a.) | Taschenbuch | x | Englisch | 2010 | Springer Vieweg | EAN 9783642087646 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540680195 ISBN 13: 9783540680192
Language: English
Gebunden. Condition: New. Will serve as a foundation for a variety of useful applications of the graph theory to computer vision, pattern recognition, and related areasCovers a representative set of novel graph-theoretic methods for complex computer vision and pattern reco.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642087647 ISBN 13: 9783642087646
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graph theory has strong historical roots in mathematics, especially in topology. Its birth is usually associated with the 'four-color problem' posed by Francis Guthrie 1 in 1852, but its real origin probably goes back to the Seven Bridges of Konigsber g 2 problem proved by Leonhard Euler in 1736. A computational solution to these two completely different problems could be found after each problem was abstracted to the level of a graph model while ignoring such irrelevant details as country shapes or cross-river distances. In general, a graph is a nonempty set of points (vertices) and the most basic information preserved by any graph structure refers to adjacency relationships (edges) between some pairs of points. In the simplest graphs, edges do not have to hold any attributes, except their endpoints, but in more sophisticated graph structures, edges can be associated with a direction or assigned a label. Graph vertices can be labeled as well. A graph can be represented graphically as a drawing (vertex=dot,edge=arc),but,aslongaseverypairofadjacentpointsstaysconnected by the same edge, the graph vertices can be moved around on a drawing without changing the underlying graph structure. The expressive power of the graph models placing a special emphasis on c- nectivity between objects has made them the models of choice in chemistry, physics, biology, and other elds.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007
ISBN 10: 3540680195 ISBN 13: 9783540680192
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graph theory has strong historical roots in mathematics, especially in topology. Its birth is usually associated with the 'four-color problem' posed by Francis Guthrie 1 in 1852, but its real origin probably goes back to the Seven Bridges of Konigsber g 2 problem proved by Leonhard Euler in 1736. A computational solution to these two completely different problems could be found after each problem was abstracted to the level of a graph model while ignoring such irrelevant details as country shapes or cross-river distances. In general, a graph is a nonempty set of points (vertices) and the most basic information preserved by any graph structure refers to adjacency relationships (edges) between some pairs of points. In the simplest graphs, edges do not have to hold any attributes, except their endpoints, but in more sophisticated graph structures, edges can be associated with a direction or assigned a label. Graph vertices can be labeled as well. A graph can be represented graphically as a drawing (vertex=dot,edge=arc),but,aslongaseverypairofadjacentpointsstaysconnected by the same edge, the graph vertices can be moved around on a drawing without changing the underlying graph structure. The expressive power of the graph models placing a special emphasis on c- nectivity between objects has made them the models of choice in chemistry, physics, biology, and other elds.
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Hardcover. Condition: Like New. Like New. book.
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Condition: New. pp. 260.
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Paperback. Condition: Like New. Like New. book.
