Human Activity Recognition Using Semi-supervised Multi-modal DEC for Instagram Data
This paper proposes a semi-supervised multi-modal deep embedding clustering method for Human Activity Recognition (HAR) on Instagram, which combines supervised and unsupervised learning to leverage both labeled and unlabeled data, improving recognition accuracy and outperforming existing approaches.
May 6, 2020
