Deterministic conditions for subspace identifiability from incomplete sampling.
Daniel L. Pimentel-AlarcónNigel BostonRobert D. NowakPublished in: ISIT (2015)
Keyphrases
- sufficient conditions
- principal component analysis
- low dimensional
- dimensionality reduction
- high dimensional
- sample size
- missing data
- clustering high dimensional data
- subspace methods
- sampling algorithm
- probability distribution
- neural network
- image set
- linear subspace
- high dimensional data
- principal components analysis
- sampling rate
- feature extraction