Metric Learning as a Service with Covariance Embedding.
Imam Mustafa KamalHyerim BaeLing LiuPublished in: CoRR (2022)
Keyphrases
- metric learning
- maximum variance unfolding
- pairwise
- distance metric
- distance metric learning
- semi supervised
- machine learning and pattern recognition
- dimensionality reduction
- learning tasks
- multi task
- semi supervised clustering
- distance function
- mahalanobis metric
- nonlinear dimensionality reduction
- kernel matrix
- covariance matrix
- graph embedding
- feature space
- background knowledge
- semi supervised learning
- text categorization
- supervised learning
- domain knowledge