Subspace Packings - Constructions and Bounds.
Tuvi EtzionSascha KurzKamil OtalFerruh ÖzbudakPublished in: CoRR (2019)
Keyphrases
- upper bound
- lower bound
- low dimensional
- upper and lower bounds
- high dimensional data
- high dimensional
- lower and upper bounds
- feature extraction
- subspace clustering
- principal component analysis
- worst case
- subspace learning
- distribution free
- feature space
- tight bounds
- error bounds
- vc dimension
- computer vision
- real time
- grassmann manifold
- hilbert space
- subspace methods
- principal components analysis
- database
- principal components
- model selection
- nearest neighbor
- multi class
- pattern recognition
- neural network