Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space.
Elsa CazellesVivien SeguyJérémie BigotMarco CuturiNicolas PapadakisPublished in: SIAM J. Sci. Comput. (2018)
Keyphrases
- principal component analysis
- low dimensional
- principal components analysis
- principal components
- lower dimensional
- reduced dimensionality
- feature extraction
- principle component analysis
- dimensionality reduction
- face recognition
- face images
- covariance matrix
- independent component analysis
- kernel pca
- linear discriminant analysis
- dimension reduction
- random projections
- high dimensional
- pattern recognition
- linear subspace
- neural network
- video sequences
- gabor features
- feature space
- higher dimensional
- geodesic distance
- input space
- space time