Variational Quantum Kernels with Task-Specific Quantum Metric Learning.
Daniel T. ChangPublished in: CoRR (2022)
Keyphrases
- metric learning
- positive semidefinite
- distance metric
- semi supervised
- machine learning and pattern recognition
- feature space
- margin maximization
- pairwise
- distance metric learning
- kernel learning
- learning tasks
- image segmentation
- pattern recognition
- distance function
- kernel matrix
- multi task
- dimensionality reduction
- data sets
- knowledge base
- mahalanobis metric
- similarity search
- kernel function
- semi supervised learning
- distance measure
- nearest neighbor
- learning process
- high dimensional
- support vector