Shift reducing subspaces and irreducible-invariant subspaces generated by wandering vectors and applications.
Carlos S. KubruslyNhan LevanPublished in: Math. Comput. Simul. (2004)
Keyphrases
- lower dimensional
- high dimensional data
- principal component analysis
- high dimensional
- low dimensional
- mutual subspace method
- arbitrarily oriented
- machine learning
- high dimensional feature spaces
- canonical correlations
- generation process
- linear subspace
- randomly selected
- data points
- computer vision
- affine invariant
- parameter space
- feature vectors
- hilbert space
- feature subspace
- subspace clusters
- website
- information systems
- linear projection
- data mining