Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling.
Mateus EspadotoNina S. T. HirataAlexandru C. TeleaPublished in: VISIGRAPP (3: IVAPP) (2021)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- unsupervised learning
- feature extraction
- data representation
- high dimensionality
- high dimensional
- high dimensional data
- artificial neural networks
- principal components
- feature selection
- active learning
- pattern recognition and machine learning
- neural network model
- low dimensional
- structure preserving
- back propagation
- graph embedding
- principal component analysis
- self organizing maps
- image segmentation
- dimensionality reduction methods
- network architecture
- genetic algorithm
- input space
- nonlinear dimensionality reduction
- activation function
- linear dimensionality reduction
- computer vision
- manifold learning
- linear discriminant analysis
- fuzzy logic
- data points
- multilayer perceptron
- discriminant analysis
- feature space
- fault diagnosis
- data sets
- image processing
- data analysis
- pairwise