SDR-NNP: Sharpened Dimensionality Reduction with Neural Networks.
Youngjoo KimMateus EspadotoScott C. TragerJos B. T. M. RoerdinkAlexandru C. TeleaPublished in: VISIGRAPP (3: IVAPP) (2022)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- principal component analysis
- high dimensional data
- feature extraction
- high dimensional
- genetic algorithm
- fuzzy logic
- neural network model
- high dimensionality
- low dimensional
- artificial neural networks
- random projections
- manifold learning
- fuzzy systems
- back propagation
- data representation
- dimensionality reduction methods
- fault diagnosis
- pattern recognition and machine learning
- feed forward
- principal components
- feature space
- input space
- feature selection
- lower dimensional
- multidimensional scaling
- locally linear embedding
- training process
- supervised dimensionality reduction
- neural nets
- recurrent neural networks
- radial basis function
- linear discriminant analysis
- self organizing maps
- kernel function
- nearest neighbor
- data points
- learning algorithm