A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders.
Francisco Javier PulgarFrancisco CharteAntonio J. RiveraMaría José del JesusPublished in: IDEAL (1) (2018)
Keyphrases
- denoising
- dimensionality reduction
- image denoising
- noisy images
- natural images
- image processing
- wavelet domain
- total variation
- denoising algorithm
- face images
- principal component analysis
- high dimensionality
- noise removal
- low dimensional
- feature extraction
- high dimensional data
- human faces
- pattern recognition and machine learning
- high dimensional
- denoising methods
- data representation
- pattern recognition
- data sets
- nonlinear dimensionality reduction
- gaussian noise
- structure preserving
- graph embedding
- multiscale
- random projections
- recognition algorithm
- feature space
- data points
- unsupervised learning
- manifold learning
- computer vision
- kernel learning
- dimensionality reduction methods
- facial images
- principal components
- linear discriminant analysis