no code implementations • 25 May 2021 • Parisa Abdolrahim Poorheravi, Vincent Gaudet
Manifold learning is used for dimensionality reduction, with the goal of finding a projection subspace to increase and decrease the inter- and intraclass variances, respectively.
1 code implementation • 29 Sep 2020 • Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent Gaudet, Fakhri Karray, Mark Crowley
Many triplet mining methods have been developed for Siamese networks; however, these techniques have not been applied on the triplets of large margin metric learning for nearest neighbor classification.
no code implementations • 15 Mar 2018 • Maurice Yang, Mahmoud Faraj, Assem Hussein, Vincent Gaudet
The recent trend toward increasingly deep convolutional neural networks (CNNs) leads to a higher demand of computational power and memory storage.