An Invariant Subspace Theorem for Sequentially Subdecomposable Operators.
Mingxue LiuPublished in: WISM (1) (2011)
Keyphrases
- translation invariant
- principal component analysis
- high dimensional data
- subspace clustering
- feature space
- low dimensional
- affine invariant
- high dimensional
- von neumann
- clustering high dimensional data
- invariant features
- frequency domain
- building blocks
- dimensionality reduction
- hilbert space
- fourier domain
- multi valued
- principal components
- linear subspace
- subspace learning
- morphological operators
- affine transformation
- database
- singular value decomposition
- nearest neighbor
- computer vision
- learning algorithm