Channel Vector Subspace Estimation from Low-Dimensional Projections.
Saeid HaghighatshoarGiuseppe CairePublished in: CoRR (2015)
Keyphrases
- low dimensional
- high dimensional
- vector space
- high dimensional data
- dimensionality reduction
- principal component analysis
- manifold learning
- linear subspace
- feature space
- dimension reduction
- euclidean space
- data points
- lower dimensional
- subspace learning
- intrinsic dimensionality
- input space
- feature vectors
- three dimensional
- motion vector fields
- signal subspace
- multidimensional scaling
- multi channel
- subspace clustering
- radon transform
- subspace analysis
- linear dimensionality reduction
- low dimensionality
- linear projection
- low dimensional spaces
- covariance matrix
- nearest neighbor
- graph embedding
- linear discriminant analysis