Metric Learning as a Service With Covariance Embedding.
Imam Mustafa KamalHyerim BaeLing LiuPublished in: IEEE Trans. Serv. Comput. (2023)
Keyphrases
- metric learning
- maximum variance unfolding
- pairwise
- distance metric
- distance metric learning
- semi supervised
- machine learning and pattern recognition
- multi task
- kernel matrix
- dimensionality reduction
- semi supervised clustering
- learning tasks
- feature space
- distance function
- mahalanobis metric
- nonlinear dimensionality reduction
- covariance matrix
- vector space
- euclidean distance
- semi supervised learning
- query processing
- high dimensional
- feature extraction
- graph embedding
- knowledge base
- computer vision
- data sets