Subspaces versus Submanifolds: a Comparative Study in Small Sample Size Problem.
Hong HuangJianwei LiHailiang FengPublished in: Int. J. Pattern Recognit. Artif. Intell. (2009)
Keyphrases
- low dimensional
- linear subspace
- null space
- high dimensional data
- linear discriminant analysis
- high dimensional
- small sample size
- principal component analysis
- subspace learning
- manifold learning
- image space
- random sampling
- dimensionality reduction
- comparative study
- lower dimensional
- pattern recognition
- face recognition
- image sequences
- subspace clusters
- high dimensionality
- canonical correlations
- linear projection
- database
- singular value decomposition
- data points
- computer vision