Graph Based Shapes Representation and Recognition

By R. Qureshi, Jean-Yves Ramel, Hubert Cardot. 2007

31 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Yizhou Sun
2. Ting-Li Chen
3. Tingting Chen
4. Yang Qiao
5. Song Bian
6. Wei Wang
7. Haoyang Ding
8. Yunsheng Bai

In Signal Processing

1. Ting-Li Chen
2. Yizhou Sun

Citations in the corpus

• Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity (2019, methodology): “We normalize the GEDs according to the following formula: nGED(G1,G2) = GED(G1,G2) (|G1|+|G2|)/2 , where |Gi| denotes the number of nodes of Gi (Qureshi et al., 2007).”
• SimGNN: A Neural Network Approach to Fast Graph Similarity Computation (2018, background): “to [39]: nGED(G1,G2) = GED(G1,G2) ( |G1 |+ |G2 |)/2 , where |Gi | denotes the number of nodes of Gi .”