Lower Bounds for Oblivious Subspace Embeddings.
Jelani NelsonHuy L. NguyênPublished in: ICALP (1) (2014)
Keyphrases
- lower bound
- low dimensional
- dimensionality reduction
- high dimensional data
- hilbert space
- upper bound
- high dimensional
- branch and bound algorithm
- linear subspace
- subspace learning
- manifold learning
- branch and bound
- np hard
- principal component analysis
- objective function
- lower dimensional
- subspace clustering
- vector space
- lower bounding
- lower and upper bounds
- feature space
- optimal solution
- data points
- upper and lower bounds
- worst case
- database
- subspace methods
- quadratic assignment problem
- input data
- vc dimension
- euclidean space
- principal components
- image registration
- search space
- search algorithm
- feature extraction
- data sets