Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices.
Inbal HorevFlorian YgerMasashi SugiyamaPublished in: ACML (2015)
Keyphrases
- principal component analysis
- dimensionality reduction
- dimension reduction
- covariance matrix
- low dimensional
- face recognition
- matrix valued
- dictionary learning
- face images
- feature space
- distance measure
- geometric structure
- feature extraction
- mean shift
- support vector
- similarity measure
- covariance matrices
- riemannian manifolds
- riemannian metric