Keyphrases
- lower bound
- low dimensional
- high dimensional
- upper bound
- high dimensional data
- dimensionality reduction
- regularized regression
- hilbert space
- basis vectors
- branch and bound
- branch and bound algorithm
- lower dimensional
- low rank representation
- linear subspace
- sparse data
- feature space
- sparse representation
- np hard
- manifold learning
- principal component analysis
- subspace learning
- euclidean space
- rank minimization
- objective function
- optimal solution
- dimension reduction
- data points
- random projections
- lower and upper bounds
- worst case
- data sets
- vector space
- orthogonal matching pursuit
- optimal cost
- clustering algorithm
- compressive sensing
- subspace clustering
- integer programming
- convex optimization
- principal components