Inertia Estimation through Covariance Matrix.
Federico BizzarriDavide del GiudiceSamuele GrilloDaniele LinaroAngelo BrambillaFederico MilanoPublished in: CoRR (2022)
Keyphrases
- covariance matrix
- estimation error
- covariance matrices
- principal component analysis
- correlation matrix
- sample size
- mahalanobis distance
- geometrical interpretation
- positive definite
- eigenvalues and eigenvectors
- gaussian mixture
- eigendecomposition
- multivariate normal
- objective function
- face recognition
- mahalanobis metric
- pseudo inverse
- symmetric matrix
- maximum likelihood estimation
- genetic algorithm
- principal components
- parameter estimation
- computer vision