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Filters: Author is Gusev, Marjan  [Clear All Filters]
2020-05-22
Despotovski, Filip, Gusev, Marjan, Zdraveski, Vladimir.  2018.  Parallel Implementation of K-Nearest-Neighbors for Face Recognition. 2018 26th Telecommunications Forum (℡FOR). :1—4.
Face recognition is a fast-expanding field of research. Countless classification algorithms have found use in face recognition, with more still being developed, searching for better performance and accuracy. For high-dimensional data such as images, the K-Nearest-Neighbours classifier is a tempting choice. However, it is very computationally-intensive, as it has to perform calculations on all items in the stored dataset for each classification it makes. Fortunately, there is a way to speed up the process by performing some of the calculations in parallel. We propose a parallel CUDA implementation of the KNN classifier and then compare it to a serial implementation to demonstrate its performance superiority.