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检索条件"任意字段=7th International Workshop on Graph-Based Representations in Pattern Recognition"
189 条 记 录,以下是71-80 订阅
排序:
A comparison of explicit and implicit graph embedding methods for pattern recognition
A comparison of explicit and implicit graph embedding method...
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9th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2013
作者: Conte, Donatello Ramel, Jean-Yves Sidère, Nicolas Luqman, Muhammad Muzzamil Gaüzère, Benoît Gibert, Jaume Brun, Luc Vento, Mario Italy 64 Avenue Jean Portalis 37200 Tours France L3i Laboratory University of la Rochelle 17042 La Rochelle France GREYC UMR CNRS 6072 14000 Caen France
In recent years graph embedding has emerged as a promising solution for enabling the expressive, convenient, powerful but computational expensive graph based representations to benefit from mature, less expensive and ... 详细信息
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On the evaluation of graph centrality for shape matching
On the evaluation of graph centrality for shape matching
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9th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2013
作者: De Sousa, Samuel Artner, Nicole M. Kropatsch, Walter G. Vienna University of Technology Pattern Recognition and Image Processing Group Vienna Austria
graph centrality has been extensively applied in Social Network Analysis to model the interaction of actors and the information flow inside a graph. In this paper, we investigate the usage of graph centralities in the... 详细信息
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An algorithm for maximum common subgraph of planar triangulation graphs
An algorithm for maximum common subgraph of planar triangula...
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9th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2013
作者: Lu, Yao Bunke, Horst Liu, Cheng-Lin National Lab. of Pattern Recognition Institute of Automation Chinese Academy of Sciences China University of Bern Switzerland
We propose a new fast algorithm for solving the Maximum Common Subgraph (MCS) problem. MCS is an NP-complete problem. In this paper, we focus on a special class of graphs, i.e. Planar Triangulation graphs, which are c... 详细信息
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A fast matching algorithm for graph-based handwriting recognition
A fast matching algorithm for graph-based handwriting recogn...
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9th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2013
作者: Fischer, Andreas Suen, Ching Y. Frinken, Volkmar Riesen, Kaspar Bunke, Horst Centre for Pattern Recognition and Machine Intelligence Concordia University 1455 de Maisonneuve Blvd West Montreal QC H3G 1M8 Canada Computer Vision Center Dept. of Computer Science Universitat Autònoma de Barcelona 08193 Bellaterra Spain Institute for Informations Systems University of Applied Sciences and Arts Northwestern Switzerland Riggenbachstrasse 16 4600 Olten Switzerland Institute of Computer Science and Applied Mathematics University of Bern Neubrückstrasse 10 3012 Bern Switzerland
the recognition of unconstrained handwriting images is usually based on vectorial representation and statistical classification. Despite their high representational power, graphs are rarely used in this field due to a... 详细信息
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graph-based representations in pattern recognition - 8th IAPR-TC-15 international workshop, GbRPR 2011, Proceedings
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8th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2011
the proceedings contain 34 papers. the topics discussed include: a global method for reducing multidimensional size graphs;graph descriptors from B-matrix representation;dimensionality reduction for graph of words emb...
来源: 评论
Estimation of distribution algorithm for the Max-Cut problem
Estimation of distribution algorithm for the Max-Cut problem
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9th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2013
作者: De Sousa, Samuel Haxhimusa, Yll Kropatsch, Walter G. Vienna University of Technology Pattern Recognition and Image Processing Group Vienna Austria
In this paper, we investigate the Max-Cut problem and propose a probabilistic heuristic to address its classic and weighted version. Our approach is based on the Estimation of Distribution Algorithm (EDA) that creates... 详细信息
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8th Iapr-tc-15 international workshop on graph-based representations in pattern recognition, Gbrpr 2011
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8th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2011
the proceedings contain 34 papers. the special focus in this conference is on graph-based representations in pattern recognition. the topics include: Speeding Up graph Edit Distance Computation through Fast Bipartite ...
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Relational Change pattern Mining based on Modularity Difference
Relational Change Pattern Mining Based on Modularity Differe...
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7th Multi-Disciplinary international workshop on Artificial Intelligence (MIWAI)
作者: Okubo, Yoshiaki Haraguchi, Makoto Tomita, Etsuji Hokkaido Univ Grad Sch Informat Sci & Technol N-14 W-9 Sapporo Hokkaido 0600814 Japan Univ Electro Commun Adv Algorithms Res Lab Chofu Tokyo 1828585 Japan
this paper is concerned with a problem of detecting relational changes. Many kinds of graph data including social networks are increasing nowadays. In such a graph, the relationships among vertices are changing day by... 详细信息
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GMTE: A tool for graph transformation and exact/inexact graph matching
GMTE: A tool for graph transformation and exact/inexact grap...
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9th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2013
作者: Hannachi, Mohamed Amine Bouassida Rodriguez, Ismael Drira, Khalil Pomares Hernandez, Saul Eduardo CNRS LAAS 7 avenue du colonel Roche F-31400 Toulouse France Univ. de Toulouse LAAS F-31400 Toulouse France ReDCAD University of Sfax B.P. 1173 3038 Sfax Tunisia Computer Science Department Instituto Nacional de Astrofísica Óptica Y Electrónica C.P. 72840 Tonantzintla Puebla Mexico
Multi-labelled graphs are a powerful and versatile tool for modelling real applications in diverse domains such as communication networks, social networks, and autonomic systems, among others. Due to dynamic nature of... 详细信息
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Feature space reduction for graph-based image classification
Feature space reduction for graph-based image classification
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18th Iberoamerican Congress on pattern recognition, CIARP 2013
作者: Acosta-Mendoza, Niusvel Gago-Alonso, Andrés Carrasco-Ochoa, Jesús Ariel Martínez-Trinidad, José Francisco Medina-Pagola, José E. 7a # 21406 e/ 214 and 216 Siboney Playa CP: 12200 Havana Cuba Luis Enrique Erro No. 1 Sta. María Tonantzintla Puebla CP: 72840 Mexico
Feature selection is an essential preprocessing step for classifiers with high dimensional training sets. In pattern recognition, feature selection improves the performance of classification by reducing the feature sp... 详细信息
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