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Inertia Estimation through Covariance Matrix.
Federico Bizzarri
Davide del Giudice
Samuele Grillo
Daniele Linaro
Angelo Brambilla
Federico Milano
Published in:
CoRR (2022)
Keyphrases
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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