ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders.
Francisco Javier PulgarFrancisco CharteAntonio J. RiveraMaría José del JesusPublished in: Inf. Sci. (2021)
Keyphrases
- unsupervised learning
- denoising
- dimensionality reduction
- image denoising
- image processing
- wavelet domain
- total variation
- high dimensional data
- low dimensional
- high dimensional
- feature space
- natural images
- feature selection
- noisy images
- data points
- pattern recognition
- denoising algorithm
- principal component analysis
- feature extraction
- dimensionality reduction methods
- noise removal
- high dimensionality
- data representation
- random projections
- linear dimensionality reduction
- denoising methods
- neural network
- wavelet denoising
- decision trees
- gaussian noise
- pattern recognition and machine learning
- manifold learning
- principal components
- kernel methods
- support vector
- structure preserving
- support vector machine
- multi class
- semi supervised