Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- high dimensional data
- hilbert space
- manifold learning
- basis vectors
- subspace learning
- sparse representation
- regularized regression
- sparse data
- principal component analysis
- rank minimization
- linear subspace
- feature space
- clustering high dimensional data
- low rank representation
- random projections
- lower dimensional
- compressed sensing
- euclidean space
- vector space
- nearest neighbor
- data points
- subspace clustering
- compressive sensing
- sparse coding
- subspace methods
- data sets
- orthogonal matching pursuit
- dimension reduction
- natural images
- kernel based nonlinear
- pattern recognition