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共 197 条记录，以下是31-40 订阅

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Distance evaluation in pattern matching based on frontier topological graph 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： D’Andréa, Gilles LIRMM 161 rue Ada Montpellier Cedex 534392 France

ISBN: (纸本)3540648585

We focus to an application of control of printing quality in industrial environment. We try to value the quality in the sense of the readability of a text printed in disturbed conditions. We propose in this paper, topological comparison criteria between two superposed patterns, based on a graph representation. the graph is built according to the regions and their adjacencies in the resulting image of a maximal superposition of two patterns: each edge of the graph is not only joining two regions, but also note a frontier between two regions. the study of this graph highlight creation or loss of connectivity, appearance or disappearance of holes or meaningful part between the compared patterns. this topological study allows us to propose an interesting distance evaluation function between the two patterns to be compared. © Springer-Verlag Berlin Heidelberg 1998.

关键词： pattern matching

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A Survey on Applications of Bipartite graph Edit Distance 11th

A Survey on Applications of Bipartite Graph Edit Distance

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11th IAPR-TC15 international workshop on graph-based representations in pattern recognition (GbRPR)

作者： Stauffer, Michael Tschachtli, thomas Fischer, Andreas Riesen, Kaspar Univ Appl Sci & Arts Northwestern Switzerland Inst Informat Syst Riggenbachstr 16 CH-4600 Olten Switzerland Univ Fribourg Dept Informat CH-1700 Fribourg Switzerland Univ Appl Sci & Arts Western Switzerland Inst Complex Syst CH-1705 Fribourg Switzerland Univ Pretoria Dept Informat Pretoria South Africa

ISBN: (纸本)9783319589619;9783319589602

About ten years ago, a novel graph edit distance framework based on bipartite graph matching has been introduced. this particular framework allows the approximation of graph edit distance in cubic time. this, in turn, makes the concept of graph edit distance also applicable to larger graphs. In the last decade the corresponding paper has been cited more than 360 times. Besides various extensions from the methodological point of view, we also observe a great variety of applications that make use of the bipartite graph matching framework. the present paper aims at giving a first survey on these applications stemming from six different categories (which range from document analysis, over biometrics to malware detection).

关键词： Applications of bipartite graph matching graph-based pattern representations

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graph-based representations in pattern recognition 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Cheng-Lin Liu Bin Luo Walter G. Kropatsch Jian Cheng

ISBN: (数字)9783319182247

ISBN: (纸本)9783319182230

this book constitutes the refereed proceedings of the 10th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2015, held in Beijing, China, in May 2015. the 36 papers presented in this volume were carefully reviewed and selected from 53 submissions. the accepted papers cover diverse issues of graph-based methods and applications, with 7 in graph representation, 15 in graph matching, 7 in graph clustering and classification, and 7 in graph-based applications.

关键词： pattern recognition Image Processing and Computer Vision Computer graphics Discrete Mathematics in Computer Science Data Structures Algorithm Analysis and Problem Complexity

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graph-based representations for Supporting Genome Data Analysis and Visualization: Opportunities and Challenges 12th

Graph-Based Representations for Supporting Genome Data Analy...

引用

12th IAPR-TC15 workshop on graph-based representations in pattern recognition (GbRPR)

作者： Carletti, Vincenzo Foggia, Pasquale Garrison, Erik Greco, Luca Ritrovato, Pierluigi Vento, Mario Univ Salerno DIEM Fisciano Italy Univ Calif Santa Cruz Genom Inst Santa Cruz CA 95064 USA

ISBN: (纸本)9783030200817;9783030200800

Genetics has known an extraordinary development in the last years, with a reduction of several orders of magnitude in the costs and the times required to obtain the sequence of nucleotides corresponding to a whole genome, leading to the availability of huge amounts of genomic data. While these data are essentially very long strings, several graphbased representations have been introduced to perform efficiently some operations on a single genome or on a set of related genomes. In this paper we will review the most important types of genetic graphs, together with the algorithmic challenges and open issues related to their use.

关键词： graph representation of genomic data Sequence graphs De Bruijn graphs Genome graphs

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Efficient Dense-graph Convolutional Network with Inductive Prior Augmentations for Unsupervised Micro-Gesture recognition 26

Efficient Dense-Graph Convolutional Network with Inductive P...

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26th international Conference on pattern recognition / 8th international workshop on Image Mining - theory and Applications (IMTA)

作者： Shah, Atif Chen, Haoyu Shi, Henglin Zhao, Guoying Univ Oulu Ctr Machine Vis & Signal Anal CMVS Oulu Finland

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

Skeleton-based action/gesture recognition has already witnessed excellent progress on processing large-scale, laboratory-based datasets with pre-defined skeleton joint topology. However, it's still an unsolved task when it comes to real-world scenarios with practical limitations such as small-scaled dataset sizes, few-labeled samples, and various skeleton topologies. In this paper, we work on the recognition of micro-gestures, which are subtle body gestures collected in real-world scenarios. Specifically, we utilize contrastive learning to heritage the knowledge from known large-scale datasets for enhancing the learning on fewer samples of micro-gestures. To overcome the gap caused by various domain distributions and structure topologies between the datasets, we compute skeleton representations from augmented sequences via momentum-based efficient and scalable encoders as additional inductive priors. Importantly, we propose an effective dense-graph based unsupervised architecture that resorts to a queue-based dictionary to store positive and negative keys for better contrast with queries to learn substantially efficient and discriminant patterns in the feature space. Together with cross-dataset experimental results show that our model significantly improves the accuracies on two micro-gesture datasets, SMG by 7.4% and iMiGUE by 18.41% advocating its superiority.

关键词： Dictionaries Computer architecture Skeleton Robustness Data models Topology pattern recognition

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graph-based representations in pattern recognition 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Xiaoyi Jiang Miquel Ferrer Andrea Torsello

ISBN: (数字)9783642208447

ISBN: (纸本)9783642208430

this book constitutes the refereed proceedings of the 8th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2011, held in Münster, Germany, in May 2011.;the 34 revised full papers presented were carefully reviewed and selected from numerous submissions. the papers are organized in topical sections on graph-based representation and characterization, graph matching, classification, and querying, graph-based learning, graph-based segmentation, and applications.

关键词： pattern recognition Image Processing and Computer Vision Computer Imaging, Vision, pattern recognition and graphics Computer graphics Discrete Mathematics in Computer Science Artificial Intelligence

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Symbols recognition by global-local structural approaches, based on the scenarios use, and with a XML representation of data 7

Symbols recognition by global-local structural approaches, b...

引用

7th international Conference on Document Analysis and recognition (ICDAR 2003)

作者： Mathieu, D Stéphane, N Eric, T Jean-Marc, O Univ Rouen PSI Lab F-76821 Mont St Aignan France

ISBN: (纸本)0769519601

this paper deals with the structural recognition of symbols on the documents. We have based our system on a combination of local and global structural approaches. the global approach groups the connected components together according to some closeness and connection constraints. the local approach splits up each connected component into a graph of geometrical objects (vectors, arcs, curves). the extracted graphs are matched thanks to a structural classifier, which permits graph-subgraph and exact-inexact matching. the system adaptability is obtained thanks to the scenarios use. A XML data representation is used, allowing the data manipulations and the graphic representations of results.

关键词： XML Data mining Laboratories Image recognition graphics Polynomials pattern recognition Image reconstruction Text analysis Regions

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Inside and outside within combinatorial pyramids

Inside and outside within combinatorial pyramids

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5th international workshop on graph-based representations in pattern recognition

作者： Brun, L Kropatsch, W ENSICAEN CNRS UMR 6072 GreYC F-14045 Caen France Vienna Univ Technol Inst Comp Aided Automat Pattern Recognit & Image Proc Grp A-1060 Vienna Austria

ISBN: (纸本)3540252703

Irregular pyramids are made of a stack of successively reduced graphs embedded in the plane. Such pyramids are often used within the segmentation and the connected component analysis frameworks to detect meaningful objects together with their spatial and topological relationships. the graphs reduced in the pyramid may be region adjacency graphs, dual graphs or combinatorial maps. Using any of these graphs each vertex of a reduced graph encodes a region of the image. Using simple graphs one edge between two vertices encodes the existence of a common boundary between two regions. Using dual graphs and combinatorial maps, each connected boundary segment between two regions is associated to one edge. Moreover, special edges called loops may be used to differentiate a special type of adjacency where one region surrounds the other. We show in this article that the loop information does not allow to distinguish inside and outside of the loop by local computations. We provide a method based on the combinatorial pyramid framework which uses the orientation explicitly encoded by combinatorial maps to determine inside and outside with local calculus.

关键词： graph theory

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Hierarchical Interactive Image Segmentation Using Irregular Pyramids

引用

8th IAPR-TC-15 international workshop on graph-based representations in pattern recognition (GbRPR)

作者： Gerstmayer, Michael Haxhimusa, Yll Kropatsch, Walter G. Vienna Univ Technol Inst Comp Graph & Algorithms Pattern Recognit & Image Proc Grp Vienna Austria

ISBN: (纸本)9783642208447

In this paper we describe modifications of irregular image segmentation pyramids based on user-interaction. We first build a hierarchy of segmentations by the minimum spanning tree based method, then regions from different (granularity) levels are combined to a final (better) segmentation with user-specified operations guiding the segmentation process. based on these operations the users can produce a final image segmentation that best suits their applications. this work can be used for applications where we need accuracy in image segmentation, in annotating images or creating ground truth among others.

关键词： Image segmentation

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graph-based representations in pattern recognition 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Mario Vento Pasquale Foggia Vincenzo Carletti Donatello Conte

ISBN: (数字)9783031427954

ISBN: (纸本)9783031427947

this book constitutes the refereed proceedings of the 13th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2023, which took place in Vietri sul Mare, Italy, in September 2023.;the 16 full papers included in this book were carefully reviewed and selected from 18 submissions. they were organized in topical sections on graph kernels and graph algorithms; graph neural networks; and graph-based representations and applications.

关键词： pattern recognition Discrete Mathematics in Computer Science Computer graphics Algorithms Data Structures and Information theory Artificial Intelligence

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