A fast minimization technique for subspace fitting with arbitrary array manifolds.
Per PelinPublished in: IEEE Trans. Signal Process. (2001)
Keyphrases
- low dimensional
- arbitrary dimension
- feature space
- high dimensional
- high dimensional data
- manifold learning
- dimensionality reduction
- principal component analysis
- euclidean space
- least squares
- subspace learning
- linear subspace
- objective function
- image segmentation
- subspace clustering
- principal components analysis
- cell complexes
- fitting method
- low dimensional spaces
- principal components
- lower dimensional
- infrared
- input data
- feature extraction