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