Graph Matching and Learning in Pattern Recognition in the Last 10 Years

By Pasquale Foggia, Gennaro Percannella, Mario Vento. International journal of pattern recognition and artificial intelligence, 2014

350 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/0bf95539146fa0ee90975b88a0218f818a7dcd62

How researchers see this paper

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

In Artificial Intelligence

1. Meng Wang
2. Xindong Wu
3. Dacheng Tao
4. Weijie Fu
5. Shijie Hao
6. Xiangnan He
7. Tat-seng Chua
8. Jun Yu

In Computer Vision and Pattern Recognition

1. Dacheng Tao
2. Meng Wang
3. Xindong Wu
4. Weijie Fu
5. Shijie Hao
6. Changxing Ding
7. Jun Yu
8. Ling Shao

In Signal Processing

1. Dacheng Tao
2. Xindong Wu
3. Meng Wang

Citations in the corpus

• Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization (2016, background): “Based on the above formulation, these algorithms generally produce satisfying classification results in a manifold space [12], [13], [20], [40], [45], [50].”