Journal Article10.1016/J.PATCOG.2012.04.016
Hypergraph-based image retrieval for graph-based representation
Salim Jouili,Salvatore Tabbone +1 more
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TL;DR: A hypergraph-based model for graph data sets by allowing cluster overlapping is proposed, in this representation one graph can be assigned to more than one cluster.
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About: This article is published in Pattern Recognition. The article was published on 01 Nov 2012. The article focuses on the topics: Line graph & Null graph.
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Citations
A survey on graph-based methods for similarity searches in metric spaces
TL;DR: A review on graph-based methods (types of graphs and search algorithms) as well as a detailed discussion on the applicability of search algorithms (with exact or approximate answers) in each graph type and an experimental evaluation of representative graphs implemented in a common platform.
53
A novel vision based row guidance approach for navigation of agricultural mobile robots in orchards
Mostafa Sharifi,XiaoQi Chen +1 more
- 09 Apr 2015
TL;DR: The results show this technique classifies an orchard image properly into defined elements and produces optimal path for mobile robot.
41
Joint Hypergraph Learning for Tag-Based Image Retrieval
TL;DR: This paper proposes a global and local visual features fusion approach to learn the relevance of images by hypergraph approach and adopts the hypergraph learning algorithm to calculate the relevance score of each image to the query.
33
Graphical Symbol Recognition
K. C. Santosh,Laurent Wendling +1 more
- 15 Jun 2015
TL;DR: The chapter focuses on one of the key issues in document image processing i.e., graphical symbol recognition, and covers several approaches and specially designed symbol recognition techniques inspired by real-world industrial problems.
24
Similarity between Hypergraphs Based on Mathematical Morphology
Isabelle Bloch,Alain Bretto,Aurélie Leborgne +2 more
- 27 May 2013
TL;DR: In the framework of structural representations for applications in image understanding, links between similarities, hypergraph theory and mathematical morphology are established and new similarity measures and pseudo-metrics on lattices of hypergraphs based on morphological operators are proposed.
13
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