Deterministic Conditions for Subspace Identifiability from Incomplete Sampling.
Daniel L. Pimentel-AlarcónRobert D. NowakNigel BostonPublished in: CoRR (2014)
Keyphrases
- sufficient conditions
- feature space
- low dimensional
- environmental conditions
- principal component analysis
- dimensionality reduction
- feature selection
- lower dimensional
- incomplete data
- black box
- sampling strategy
- missing data
- high dimensional data
- data sets
- image sequences
- clustering high dimensional data
- subspace methods
- kernel based nonlinear
- sampling methods
- principal components analysis
- random sampling
- principal components
- sample size
- high dimensional