Local Distance Correlation Embedding for Time-Series Analysis on Riemannian Manifolds.
Lincon S. SouzaTakumi KobayashiYasunori NishimoriYasuko Sugase-MiyamotoKenji KawanoShotaro AkahoNarihisa MatsumotoPublished in: ICASSP (2024)
Keyphrases
- riemannian manifolds
- geodesic distance
- vector space
- euclidean space
- euclidean distance
- distance measure
- manifold learning
- distance metric
- geometric structure
- shortest path
- distance transform
- multi class classification
- similarity measure
- mean shift
- covariance matrices
- metric space
- low dimensional
- feature vectors
- parameter space
- machine learning
- distance function
- multi class
- special case
- pattern recognition
- feature extraction
- face recognition