Subspace Recovery From Structured Union of Subspaces.
Thakshila WimalajeewaYonina C. EldarPramod K. VarshneyPublished in: IEEE Trans. Inf. Theory (2015)
Keyphrases
- linear subspace
- high dimensional data
- low dimensional
- subspace clusters
- lower dimensional
- grassmann manifold
- principal component analysis
- linear projection
- high dimensional
- canonical correlations
- hilbert space
- subspace learning
- subspace clustering
- feature space
- low rank representation
- structured data
- subspace analysis
- stochastic gradient
- image space
- dimensionality reduction
- data analysis
- clustering high dimensional data
- real world
- nearest neighbor
- image recovery
- basis vectors
- face space
- image set
- feature extraction
- face recognition
- arbitrarily oriented
- null space
- feature subspace
- component analysis
- linear discriminant analysis
- recovery algorithm
- data sets
- mutual subspace method