1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Angular triangle distance for ordinal metric learning
Imam Mustafa Kamal, Hyerim Bae
Deep metric learning (DML) aims to automatically construct task-specific distances or similarities of data, resulting in a low-dimensional representation. Several significant metri…
cs.CV2022★ 1 cited
Metric Learning as a Service with Covariance Embedding
Imam Mustafa Kamal, Hyerim Bae, Ling Liu
With the emergence of deep learning, metric learning has gained significant popularity in numerous machine learning tasks dealing with complex and large-scale datasets, such as inf…
cs.CV2022
Semi-supervised binary classification with latent distance learning
Imam Mustafa Kamal, Hyerim Bae
Binary classification (BC) is a practical task that is ubiquitous in real-world problems, such as distinguishing healthy and unhealthy objects in biomedical diagnostics and defecti…