Computability of finite-dimensional linear subspaces and best approximation.
Vasco BrattkaRuth DillhagePublished in: Ann. Pure Appl. Log. (2010)
Keyphrases
- finite dimensional
- linear subspace
- low dimensional
- convex sets
- higher dimensional
- euclidean space
- vector space
- high dimensional
- subspace learning
- image space
- numerical solution
- principal component analysis
- high dimensional data
- multiple views
- face recognition
- dimensionality reduction
- dimension reduction
- image set
- feature space
- reproducing kernel hilbert space
- data sets
- pattern recognition
- feature extraction