Noise is often seen as unwanted signal while it has been shown beneficial in many information processing systems and algorithms. Noise enhancement has been utilized in many biological and physical systems, machine learning methods, and deep learning techniques in order to improve efficiency and performance. This tutorial presents (1) the different types of noise; (2) noise applications; (3) noise-enhanced processing systems; (4) noise-enhanced learning methods; and (5) noise injection methods in network science.
@inproceedings{reyhaneh2022noise,
title = {Noise Enhancement: Techniques and Applications},
author = {Reyhaneh Abdolazimi and Reza Zafarani},
year = {2022},
keywords = {tutorial},
booktitle = {Proceedings of the 2022 SIAM International Conference on Data Mining (SDM)},
abstract = {Noise is often seen as unwanted signal while it has been shown beneficial in many information processing systems and algorithms. Noise enhancement has been utilized in many biological and physical systems, machine learning methods, and deep learning techniques in order to improve efficiency and performance. This tutorial presents (1) the different types of noise; (2) noise applications; (3) noise-enhanced processing systems; (4) noise-enhanced learning methods; and (5) noise injection methods in network science.},
url = {https://reyhanehabdolazimi.com/tutorials/SDM2022},
}