Discrimination of Signals from Large Covariance Matrix for Pattern Recognition.
Masaaki IdaPublished in: ICPRAM (2024)
Keyphrases
- covariance matrix
- pattern recognition
- signal processing
- covariance matrices
- principal component analysis
- correlation filters
- sample size
- gaussian mixture
- eigendecomposition
- neural network
- positive definite
- multivariate gaussian
- pseudo inverse
- mahalanobis distance
- eigenvalues and eigenvectors
- image processing
- machine learning
- geometrical interpretation
- independent component analysis
- spectral analysis
- computer vision
- correlation matrix
- cma es
- support vector machine svm
- dimensionality reduction
- objective function
- mahalanobis metric
- estimation error
- principal components
- optimization algorithm
- multi objective