Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings.
Daniele ZambonLorenzo LiviCesare AlippiPublished in: CoRR (2018)
Keyphrases
- change detection
- constant curvature
- euclidean space
- data streams
- remote sensing images
- low dimensional
- manifold learning
- remote sensing
- shape analysis
- vector space
- riemannian manifolds
- image registration
- satellite images
- euclidean distance
- finite dimensional
- land cover
- data points
- geodesic distance
- circular arcs
- high dimensional
- metric space
- anomaly detection
- dimensionality reduction
- concept drift
- multispectral
- high dimensional data
- high resolution
- image analysis
- gamma distributions