Graph matching using a direct classification of node attendance-Reference-Cited by-同舟云学术

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Graph matching using a direct classification of node attendance

Published:1996-06 Issue:6 Volume:29 Page:1031-1048
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Depiero Fred,Trivedi Mohan,Serbin Steven

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference41 articles.

1. Three-Dimensional Computer Vision, A Geometric Viewpoint;Faugeras,1993

2. A robot vision system for recognizing 3-D objects in low-order polynomial time;Chen;IEEE Trans. Syst. Man. Cybernet.,1989

3. Animate vision;Ballard;Artific. Intell.,1991

4. Sensing 3-D surfaces and edges using a projected grid;Stockman,1986

5. High-speed extraction of 3D structure using image streams obtained by a single camera;Dalmia;Comput. Vis. Image Understanding,1995

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1. A novel visualization approach for data provenance;Concurrency and Computation: Practice and Experience;2021-07-28

2. Nonlinear Graph Learning-Convolutional Networks for Node Classification;Neural Processing Letters;2021-03-10

3. Uncovering research trends and topics of communities in machine learning;Multimedia Tools and Applications;2020-11-09

4. Why-Diff: Exploiting Provenance to Understand Outcome Differences From Non-Identical Reproduced Workflows;IEEE Access;2019

5. A Data Provenance Visualization Approach;2018 14th International Conference on Semantics, Knowledge and Grids (SKG);2018-09

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