Covariance matrix decomposition in deterministic sampling filters.
Yuancai CongShaolei ZhouYuhang KangPublished in: ICIA (2013)
Keyphrases
- covariance matrix
- sample size
- covariance matrices
- principal component analysis
- estimation error
- mahalanobis distance
- random sampling
- geometrical interpretation
- positive definite
- gaussian mixture
- objective function
- model selection
- multivariate gaussian
- eigendecomposition
- correlation matrix
- transformation matrix
- pseudo inverse
- computer vision
- symmetric matrix
- mahalanobis metric
- eigenvalues and eigenvectors
- structure tensor
- edge detection
- image segmentation