Keyphrases
- lower bound
- low dimensional
- high dimensional
- high dimensional data
- dimensionality reduction
- upper bound
- hilbert space
- regularized regression
- low rank representation
- basis vectors
- sparse data
- feature space
- principal component analysis
- euclidean space
- manifold learning
- sparse representation
- branch and bound
- branch and bound algorithm
- subspace clustering
- linear subspace
- rank minimization
- worst case
- lower and upper bounds
- objective function
- np hard
- optimal solution
- vector space
- data points
- subspace learning
- low dimensional spaces
- random projections
- nearest neighbor
- optimal cost
- sparse coding
- von neumann
- orthogonal matching pursuit
- finite dimensional
- compressed sensing
- vc dimension