Graph Based Representations in Pattern Recognition, Paperback by Jolion, Jean...-image

Graph Based Representations in Pattern Recognition, Paperback by Jolion, Jean...

$ 33.32

Subject: Programming / Algorithms, Graphic Methods, Databases / General, Computer Vision & Pattern Recognition Author: W. G. Kropatsch Subject Area: Mathematics, Computers Number of Pages: VII, 145 Pages Book Title: Graph Based Representations in Pattern Recognition Item Weight: 11.3 Oz Format: Trade Paperback Publication Name: Graph Based Representations in Pattern Recognition Series: Computing Supplementa Ser. ISBN: 9783211831212 Item Length: 9.8 in Publisher: Springer Type: Textbook Language: English width: 6.7 in Publication Year: 1998 Item Width: 6.7 in

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Graph Based Representations in Pattern Recognition, Paperback by Jolion, Jean.... Graph Based Representations in Pattern Recognition, Paperback by Jolion, Jean-Michel (EDT); Kropatsch, W. (EDT), ISBN 3211831215, ISBN-13 9783211831212, Brand New, Free shipping in the US Graph-based representation of images is becoming a popular tool since it represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. Therefore, it is widely used to control the different levels from segmentation to 14 papers in this volume are grouped in the following subject areas: hypergraphs, recognition and detection, matching, segmentation, implementation problems, representation. Graph Based Representations in Pattern Recognition, Paperback by Jolion, Jean-Michel (EDT); Kropatsch, W. (EDT), ISBN 3211831215, ISBN-13 9783211831212, Brand New, Free shipping in the US Graph-based representation of images is becoming a popular tool since it represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. Therefore, it is widely used to control the different levels from segmentation to 14 papers in this volume are grouped in the following subject areas: hypergraphs, recognition and detection, matching, segmentation, implementation problems, representation.

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