Regularized linear autoencoders recover the principal components, eventually.
Xuchan BaoJames LucasSushant SachdevaRoger B. GrossePublished in: CoRR (2020)
Keyphrases
- principal components
- principal component analysis
- denoising
- multivariate data
- hyperplane
- dimensionality reduction
- correlation coefficient
- principal components analysis
- principal component regression
- spectral data
- covariance matrix
- feature set
- data points
- feature extraction
- kernel space
- low dimensional
- independent components
- computer vision
- linear features
- machine learning