Hilbert space geometry of quadratic covariance bounds.
Stephen D. HowardWilliam MoranPooria PakroohLouis L. ScharfPublished in: ACSSC (2017)
Keyphrases
- hilbert space
- von neumann
- infinite dimensional
- finite dimensional
- pairwise
- convex sets
- kernel function
- euclidean space
- scale spaces
- multivariate time series
- continuous functions
- lower bound
- feature maps
- reproducing kernel hilbert space
- covariance matrix
- neural network
- computational complexity
- geometric structure
- objective function
- covariance matrices
- learning theory
- self organizing maps
- multiscale