On the Euclidean distance of images

By Liwei Wang, Yan Zhang, Jufu Feng. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005

650 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/15122ef718265beb4cb1a74e5d1f41c5edcb4ba5

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. Dacheng Tao
2. Xuelong Li
3. Xindong Wu
4. S. Maybank
5. Ling Shao
6. Changxing Ding
7. Luc Van Gool
8. Yun Raymond Fu

Citations in the corpus

• Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau (2017, background): “A smaller Euclid value indicates better performance of the involved product (Wang et al., 2005).”
• General Tensor Discriminant Analysis and Gabor Features for Gait Recognition (2007, methodology): “From top left to bottom right, in each of the six subfigures (Probes A, B, E, H, and I and the average performance), there are 11 bars, which correspond to the performance of HMM, IMED+LDA, LDA, LDA+Fusion, 2DLDA+LDA, GTDA+LDA (H), GTDA+LDA, Gabor+GTDA+LDA(H), GaborD+GTDA+LDA(H), GaborS+GTDA+LDA(H),”