Symmetry-Aware Autoencoders: s-PCA and s-nlPCA.
Simon KneerTaraneh SayadiDenis SippPeter J. SchmidGeorgios RigasPublished in: CoRR (2021)
Keyphrases
- principal component analysis
- principal components analysis
- denoising
- dimensionality reduction
- principal components
- principle component analysis
- symmetry detection
- face recognition
- independent component analysis
- linear discriminant analysis
- appearance based object recognition
- protein secondary structure prediction
- kernel pca
- feature extraction
- face images
- dimension reduction
- high dimensional
- covariance matrix
- singular value decomposition
- input image
- feedforward neural networks
- bilateral symmetry
- feature space
- neural network
- back propagation
- dimension reduction methods
- subspace methods
- high resolution
- data points
- recognition rate