Multiscale anomaly detection using diffusion maps and saliency score

  title={Multiscale anomaly detection using diffusion maps and saliency score},
  author={Gal Mishne and Israel Cohen},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
Recently, we presented a multiscale approach to anomaly detection in images, combining diffusion maps for dimensionality reduction and a nearest-neighbor-based anomaly score in the reduced dimension. When applying diffusion maps to images, usually a process of sampling and out-of-sample extension is used, which has limitations in regards to anomaly detection. To overcome the limitations, a multiscale approach was proposed, which drives the sampling process to ensure separability of the anomaly… CONTINUE READING


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 26 references

Similar Papers

Loading similar papers…