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Graph-Based Representations in Pattern Recognition
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Graph-Based Representations in Pattern Recognition - new book

ISBN: 9783540252702

Many vision problems have to deal with di?erent entities (regions, lines, line junctions, etc.) and their relationships. These entities together with their re- tionships may be encoded us… More...

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Graph-Based Representations in Pattern Recognition 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings - Vento, Mario (Herausgeber); Brun, Luc (Herausgeber)
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Vento, Mario (Herausgeber); Brun, Luc (Herausgeber):

Graph-Based Representations in Pattern Recognition 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings - new book

2005, ISBN: 3540252703

2005 Kartoniert / Broschiert Mustererkennung, Spracherkennung, Diskrete Mathematik, Grafikprogrammierung, Datenbanken, Maschinelles Sehen, Bildverstehen, classification; computationalgr… More...

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Graph-Based Representations in Pattern Recognition 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings - Vento, Mario (Herausgeber); Brun, Luc (Herausgeber)
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Vento, Mario (Herausgeber); Brun, Luc (Herausgeber):
Graph-Based Representations in Pattern Recognition 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings - new book

2005

ISBN: 3540252703

2005 Kartoniert / Broschiert Mustererkennung, Spracherkennung, Diskrete Mathematik, Grafikprogrammierung, Datenbanken, Maschinelles Sehen, Bildverstehen, classification; computationalgr… More...

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Graph-Based Representations in Pattern Recognition
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Graph-Based Representations in Pattern Recognition - Paperback

2005, ISBN: 3540252703

Graph-Based Representations in Pattern Recognition ab 85.49 € als Taschenbuch: 5th IAPR International Workshop GbRPR 2005 Poitiers France April 11-13 2005 Proceedings. Auflage 2005. Aus d… More...

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Graph-Based Representations in Pattern Recognition - Luc Brun; Mario Vento
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Luc Brun; Mario Vento:
Graph-Based Representations in Pattern Recognition - Paperback

2005, ISBN: 9783540252702

5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2005

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Graph-Based Representations in Pattern Recognition
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3540252703


This book constitutes the refereed proceedings of the 5th IAPR International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2005, held in Poitiers, France in April 2005.The 18 revised full papers and 17 revised poster papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on graph representations, graphs and linear representations, combinatorial maps, matching, hierarchical graph abstraction and matching, inexact

Details of the book - Graph-Based Representations in Pattern Recognition


EAN (ISBN-13): 9783540252702
ISBN (ISBN-10): 3540252703
Paperback
Publishing year: 2005
Publisher: Springer Berlin
404 Pages
Weight: 0,608 kg
Language: eng/Englisch

Book in our database since 2007-05-29T13:33:40+01:00 (London)
Detail page last modified on 2023-11-16T20:08:21+00:00 (London)
ISBN/EAN: 3540252703

ISBN - alternate spelling:
3-540-25270-3, 978-3-540-25270-2
Alternate spelling and related search-keywords:
Book author: brun, bru, geometry, brün
Book title: graph based representations pattern recognition, base france, représentation, international graphics, april, proceedings international workshop, computer

Information from Publisher

Author: Luc Brun; Mario Vento
Title: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Graph-Based Representations in Pattern Recognition - 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings
Publisher: Springer; Springer Berlin
384 Pages
Publishing year: 2005-03-23
Berlin; Heidelberg; DE
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XII, 384 p.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; Informatik; classification; computational graph theory; computer vision; database; filtering; fingerprint; graph matching; graph-based methods; graph-based representations; graph-theoretic methods; image analysis; object recognition; pattern recognition; programming; topology; data structures; Automated Pattern Recognition; Computer Vision; Computer Graphics; Discrete Mathematics in Computer Science; Data Science; Maschinelles Sehen, Bildverstehen; Grafikprogrammierung; Mathematik für Informatiker; Diskrete Mathematik; Datenbanken; EA

Graph Representations.- Hypergraph-Based Image Representation.- Vectorized Image Segmentation via Trixel Agglomeration.- Graph Transformation in Document Image Analysis: Approaches and Challenges.- Graphical Knowledge Management in Graphics Recognition Systems.- A Vascular Network Growth Estimation Algorithm Using Random Graphs.- Graphs and Linear Representations.- A Linear Generative Model for Graph Structure.- Graph Seriation Using Semi-definite Programming.- Comparing String Representations and Distances in a Natural Images Classification Task.- Reduction Strings: A Representation of Symbolic Hierarchical Graphs Suitable for Learning.- Combinatorial Maps.- Representing and Segmenting 2D Images by Means of Planar Maps with Discrete Embeddings: From Model to Applications.- Inside and Outside Within Combinatorial Pyramids.- The GeoMap: A Unified Representation for Topology and Geometry.- Pyramids of n-Dimensional Generalized Maps.- Matching.- Towards Unitary Representations for Graph Matching.- A Direct Algorithm to Find a Largest Common Connected Induced Subgraph of Two Graphs.- Reactive Tabu Search for Measuring Graph Similarity.- Tree Matching Applied to Vascular System.- Hierarchical Graph Abstraction and Matching.- A Graph-Based, Multi-resolution Algorithm for Tracking Objects in Presence of Occlusions.- Coarse-to-Fine Object Recognition Using Shock Graphs.- Adaptive Pyramid and Semantic Graph: Knowledge Driven Segmentation.- A Graph-Based Concept for Spatiotemporal Information in Cognitive Vision.- Inexact Graph Matching.- Approximating the Problem, not the Solution: An Alternative View of Point Set Matching.- Defining Consistency to Detect Change Using Inexact Graph Matching.- Asymmetric Inexact Matching of Spatially-Attributed Graphs.- From Exact to ApproximateMaximum Common Subgraph.- Learning.- Automatic Learning of Structural Models of Cartographic Objects.- An Experimental Comparison of Fingerprint Classification Methods Using Graphs.- Collaboration Between Statistical and Structural Approaches for Old Handwritten Characters Recognition.- Graph Sequences.- Decision Trees for Error-Tolerant Graph Database Filtering.- Recovery of Missing Information in Graph Sequences.- Tree-Based Tracking of Temporal Image.- Graph Kernels.- Protein Classification with Kernelized Softassign.- Local Entropic Graphs for Globally-Consistent Graph Matching.- Edit Distance Based Kernel Functions for Attributed Graph Matching.- Graphs and Heat Kernels.- A Robust Graph Partition Method from the Path-Weighted Adjacency Matrix.- Recent Results on Heat Kernel Embedding of Graphs.

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