Metric Learning for Clifford Group Equivariant Neural Networks.
Riccardo AliPaulina KulyteHaitz Sáez de Ocáriz BordePietro LiòPublished in: CoRR (2024)
Keyphrases
- metric learning
- neural network
- distance metric
- distance metric learning
- pairwise
- semi supervised
- nearest neighbor classification
- kernel matrix
- learning tasks
- dimensionality reduction
- multi task
- distance function
- person re identification
- pattern recognition
- machine learning and pattern recognition
- feature space
- semi supervised clustering
- semi definite programming
- mahalanobis metric
- subject to linear constraints
- semi supervised learning
- data points
- kernel learning
- principal component analysis
- domain knowledge
- similarity measure
- computer vision