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检索条件"任意字段=7th International Workshop on Graph-Based Representations in Pattern Recognition"
197 条 记 录,以下是21-30 订阅
排序:
Minimizing the topological structure of line images  7th
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7th Joint IAPR international workshop on Structural and Syntactic pattern recognition, SSPR 1998 and 2nd international workshop on Statistical Techniques in pattern recognition, SPR 1998
作者: Kropatsch, Walter G. Burge, Mark Vienna University of Technology Institute of Automation 183/2 Pattern Recognition and Image Processing Group Treitlstr.3 WienA-1040 Austria Johannes Kepler University Institute of Systems Science Computer Vision Laboratory LinzA-4040 Austria
We present a new algorithm based on Dual graph Contraction (DGC) to transform the Run graph into its Minimum Line Property Preserving (MLPP) form which, when implemented in parallel, requires O(log(longestcurve)) step... 详细信息
来源: 评论
Image Segmentation Using graph representations and Local Appearance and Shape Models
Image Segmentation Using Graph Representations and Local App...
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7th international workshop on graph-based representations in pattern recognition
作者: Keustermans, Johannes Seghers, Dieter Mollemans, Wouter Vandermeulen, Dirk Suetens, Paul Katholieke Univ Leuven Fac Med Med Imaging Res Ctr Radiol ESAT PSI Univ Hosp Gasthuisberg Herestr 49 B-3000 Louvain Belgium Medicim NV B-2800 Mechelen Belgium
A generic model-based segmentation algorithm is presented. based on a set of training data, consisting of images with corresponding object segmentations, a local appearance and local shape model is build. the object i... 详细信息
来源: 评论
Optimising the the Volgenant-Jonker algorithm for approximating graph edit distance
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pattern recognition LETTERS 2017年 87卷 47-54页
作者: Jones, William Chawdhary, Aziem King, Andy Univ Kent Sch Comp Canterbury CT2 7NF Kent England
Although it is agreed that the Volgenant-Jonker (VJ) algorithm provides a fast way to approximate graph edit distance (GED), until now nobody has reported how the VJ algorithm can be tuned for this task. To this end, ... 详细信息
来源: 评论
graph embedding in vector spaces by means of prototype selection
Graph embedding in vector spaces by means of prototype selec...
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6th international workshop on graph-based representations in pattern recognition
作者: Riesen, Kaspar Neuhaus, Michel Bunke, Horst Univ Bern Dept Comp Sci Neubruckstr 10 CH-3012 Bern Switzerland
the field of statistical pattern recognition is characterized by the use of feature vectors for pattern representation, while strings or, more generally, graphs are prevailing in structural pattern recognition. In thi... 详细信息
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Asymmetric inexact matching of spatially-attributed graphs
Asymmetric inexact matching of spatially-attributed graphs
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5th international workshop on graph-based representations in pattern recognition
作者: Li, Y Blostein, D Abolmaesumi, P Queens Univ Sch Comp Kingston ON K7L 3N6 Canada
this paper discusses inexact matching of graphs that are spatially-attributed and asymmetric. In a spatially-attributed graph, vertex attributes indicate the coordinates of an image feature represented by the vertex. ... 详细信息
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Data-driven Latent graph Structure Learning for Diagnosis of Alzheimer's Syndrome  26
Data-driven Latent Graph Structure Learning for Diagnosis of...
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26th international Conference on pattern recognition / 8th international workshop on Image Mining - theory and Applications (IMTA)
作者: Wang, Jianjia Wu, Chong Shanghai Univ Shanghai Inst Adv Commun & Data Sci Sch Comp Engn & Sci Shanghai Peoples R China Shanghai Univ Sch Comp Engn & Sci Shanghai 200444 Peoples R China
Complex systems often have a latent graph structure. Studying the underlying graph structure will help us to analyze the mechanisms of complex phenomena. However, it is a challenging problem to learn effective graph s... 详细信息
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Local Binary pattern based graph Construction for Hyperspectral Image Segmentation  1
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12th IAPR-TC15 workshop on graph-based representations in pattern recognition (GbRPR)
作者: Tabia, Kaouther Desquesnes, Xavier Lucas, Yves Treuillet, Sylvie Univ Orleans Lab PRISME 12 Rue Blois 6744 F-45067 Orleans 2 France
Building highly discriminative graph has an important impact on the quality of graph-based hyperspectral image segmentation. For this purpose, we propose to weight graph edges using Local Binary pattern (LBP) descript... 详细信息
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Speeding Up graph Edit Distance Computation through Fast Bipartite Matching
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8th IAPR-TC-15 international workshop on graph-based representations in pattern recognition (GbRPR)
作者: Fankhauser, Stefan Riesen, Kaspar Bunke, Horst Univ Bern Inst Comp Sci & Appl Math CH-3012 Bern Switzerland
In the field of structural pattern recognition graphs constitute a very common and powerful way of representing objects. the main drawback of graph representations is that the computation of various graph similarity m... 详细信息
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Approximative graph pyramid solution of the E-TSP
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IMAGE AND VISION COMPUTING 2009年 第7期27卷 887-896页
作者: Haxhimusa, Yll Kropatsch, Walter G. Pizlo, Zygmunt Ion, Adrian Purdue Univ Dept Psychol Sci Coll Liberal Arts Lafayette IN 47907 USA Vienna Univ Technol Fac Informat Inst Comp Aided Automat Pattern Recognit & Image Vienna Austria
the traveling salesman problem (TSP) is difficult to solve for input instances with large number of cities. Instead of finding the solution for an input with a large number of cities, the problem is transformed into a... 详细信息
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Optimum-Path Forest based on k-connectivity: theory and applications
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pattern recognition LETTERS 2017年 第Feb.1期87卷 117-126页
作者: Papa, Joao Paulo Nachif Fernandes, Silas Evandro Falcao, Alexandre Xavier Sao Paulo State Univ Dept Comp Av Eng Luiz Edmundo Carrijo Coube BR-17033360 Bauru SP Brazil Univ Fed Sao Carlos Dept Comp Rod Washington LuisKm 235 BR-13565905 Sao Carlos SP Brazil Univ Estadual Campinas Inst Comp Av Albert Einstein 1251 BR-13083852 Campinas SP Brazil
graph-based pattern recognition techniques have been in the spotlight for many years, since there is a constant need for faster and more effective approaches. Among them, the Optimum-Path Forest (OPF) framework has ga... 详细信息
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