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Graph-Based Representations in Pattern Recognition: 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings Luc
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Many vision problems have to deal with different entities (regions, lines, line junctions, etc.) and their relationships. These entities together with their re- tionships may be encoded u… Más…

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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… Más…

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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 - libro nuevo

2005

ISBN: 3540252703

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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 - libro nuevo

2005, ISBN: 3540252703

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

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2005, ISBN: 3540252703

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Detalles del libro
Graph-Based Representations in Pattern Recognition: 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings Luc

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

Detalles del libro - Graph-Based Representations in Pattern Recognition: 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings Luc


EAN (ISBN-13): 9783540252702
ISBN (ISBN-10): 3540252703
Tapa blanda
Año de publicación: 2005
Editorial: Springer Berlin Heidelberg Core >1 >T
404 Páginas
Peso: 0,608 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-05-29T14:33:40+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-03-11T00:46:35+01:00 (Madrid)
ISBN/EAN: 3540252703

ISBN - escritura alterna:
3-540-25270-3, 978-3-540-25270-2
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: brun, bru, geometry, brün, poitiers
Título del libro: graph based representations pattern recognition, base france, représentation, international graphics, april, proceedings international workshop, computer


Datos del la editorial

Autor: Luc Brun; Mario Vento
Título: 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
Editorial: Springer; Springer Berlin
384 Páginas
Año de publicación: 2005-03-23
Berlin; Heidelberg; DE
Idioma: Inglés
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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