Supervised Canonical Correlation Analysis of Data on Symmetric Positive Definite Manifolds by Riemannian Dimensionality Reduction.
Faezeh FallahBin YangPublished in: ICASSP (2020)
Keyphrases
- dimensionality reduction
- data sets
- canonical correlation analysis
- riemannian manifolds
- dimensionality reduction methods
- high dimensional data
- data points
- input space
- feature extraction
- euclidean space
- machine learning
- training data
- principal component analysis
- symmetric positive definite
- low dimensional
- computer vision
- missing data
- manifold learning
- unsupervised learning
- semi supervised
- data analysis
- image sequences