A learning process based on covariance matrix adaptation for morphological-linear perceptrons.
Ricardo de A. AraújoAdriano L. I. OliveiraSilvio R. L. MeiraPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- covariance matrix
- learning process
- pseudo inverse
- covariance matrices
- symmetric matrix
- principal component analysis
- sample size
- geometrical interpretation
- gaussian mixture
- mahalanobis distance
- positive definite
- correlation matrix
- objective function
- learning environment
- transformation matrix
- multivariate gaussian
- eigendecomposition
- eigenvalues and eigenvectors
- face recognition
- cma es
- image processing
- estimation error
- active learning
- multiscale
- e learning
- class conditional densities