σ-PCA: a unified neural model for linear and nonlinear principal component analysis.
Fahdi KanavatiLucy KatsnithMasayuki TsunekiPublished in: CoRR (2023)
Keyphrases
- principal component analysis
- neural model
- neural network
- principal components
- neural models
- recurrent neural networks
- independent component analysis
- dimension reduction
- face recognition
- dimensionality reduction
- feature extraction
- face images
- control scheme
- low dimensional
- covariance matrix
- negative matrix factorization
- linear discriminant analysis
- multi layer perceptron
- lower dimensional
- feature space
- hopfield network
- dimension reduction methods
- singular value decomposition
- closed loop
- kernel pca
- principle component analysis
- data sets
- back propagation
- high dimensional data
- pattern recognition
- image processing
- learning algorithm