Computable complete invariants for finite clouds of unlabeled points under Euclidean isometry.
Vitaliy KurlinPublished in: CoRR (2022)
Keyphrases
- data points
- projective reconstruction
- single point
- euclidean space
- euclidean distance
- half spaces
- euclidean geometry
- cloud computing
- point sets
- geometric invariants
- projective invariants
- finite sets
- training data
- feature points
- prior knowledge
- high dimensional
- vector field
- convex hull
- line segments
- semi supervised learning
- finite number
- labeled data
- projective geometry
- data management
- active learning
- imperative programs
- learning algorithm