Establishing correspondences between two feature sets is a fundamental issue in computer vision, pattern recognition, and machine learning. This problem can be well formulated as g...
Jungmin Lee (Seoul National University), Minsu Cho...
This paper introduces our one-armed stationary humanoid robot GripSee together with research projects carried out on this platform. The major goal is to have it analyze a table sce...
Inexact graph matching has become an important research area because it is used to find similarities among objects in several real domains such as chemical and biological compound...
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
Ali Shokoufandeh, Yakov Keselman, M. Fatih Demirci...
Abstract. In this paper, we consider two particular problems of directed graph matching. The first problem concerns graphs with nodes that have been subdivided into classes of di...
Many applications involve matching two graphs in order to identify their common features and compute their similarity. In this paper, we address the problem of computing a graph si...
This paper studies the following problem: given a pair of business process models, determine which elements in one model are related to which elements in the other model. This prob...
Remco M. Dijkman, Marlon Dumas, Luciano Garc&iacut...
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...
This paper presents a graph matching model for the software architecture recovery problem. Because of their expressiveness, the graphs have been widely used for representing both ...
Graph matching is an essential problem in computer vision and machine learning. In this paper, we introduce a random walk view on the problem and propose a robust graph matching al...
Minsu Cho (Seoul National University), Jungmin Lee...