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Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:0121743500.
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Graph Theory: An Algorithmic Approach . Computer science and applied mathematics.
Published by Academic Press. 1975., 1975
Condition: Gebraucht / Used. Hardcover. Very good. Xv,400pp.
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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: New.
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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
£ 94.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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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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Applied Graph Theory in Computer Vision and Pattern Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 104.39
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New. pp. 276.
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Condition: New. pp. 276.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2007
ISBN 10: 3540680195 ISBN 13: 9783540680192
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Presents graph-theoretic methods for complex computer vision and pattern recognition tasks. This title also presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications. Editor(s): Kandel, Abraham; Bunke, Horst; Last, Mark. Series: Studies in Computational Intelligence. Num Pages: 276 pages, 17 black & white tables, biography. BIC Classification: PBV; UYQV. Category: (P) Professional & Vocational. Dimension: 240 x 156 x 21. Weight in Grams: 548. . 2007. Hardback. . . . .
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Applied Graph Theory in Computer Vision and Pattern Recognition
Seller: Scarthin Books ABA, ILAB., Cromford, United Kingdom
Seller rating 4 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)
Language: English
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3642087647 ISBN 13: 9783642087646
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
Language: English
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540680195 ISBN 13: 9783540680192
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
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642087647 ISBN 13: 9783642087646
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 (Studies in Computational Intelligence, 52)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 134.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2007
ISBN 10: 3540680195 ISBN 13: 9783540680192
Condition: New. Presents graph-theoretic methods for complex computer vision and pattern recognition tasks. This title also presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications. Editor(s): Kandel, Abraham; Bunke, Horst; Last, Mark. Series: Studies in Computational Intelligence. Num Pages: 276 pages, 17 black & white tables, biography. BIC Classification: PBV; UYQV. Category: (P) Professional & Vocational. Dimension: 240 x 156 x 21. Weight in Grams: 548. . 2007. Hardback. . . . . Books ship from the US and Ireland.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Language: English
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007
ISBN 10: 3540680195 ISBN 13: 9783540680192
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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Paperback. Condition: Like New. Like New. book.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Language: English
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007
ISBN 10: 3540680195 ISBN 13: 9783540680192
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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,aslongaseverypairofadjacentpointsst aysconnected 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. 266 pp. Englisch.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Language: English
Published by Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642087647 ISBN 13: 9783642087646
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks. 276 pp. Englisch.
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Applied Graph Theory in Computer Vision and Pattern Recognition
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642087647 ISBN 13: 9783642087646
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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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Condition: New. Print on Demand pp. 276 85 Illus.
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Condition: New. Print on Demand pp. 276 Illus.
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Condition: New. PRINT ON DEMAND pp. 276.
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Condition: New. PRINT ON DEMAND pp. 276.
