A Dimensionality Reduction Approach for Convolutional Neural Networks.
Laura MeneghettiNicola DemoGianluigi RozzaPublished in: CoRR (2021)
Keyphrases
- convolutional neural networks
- dimensionality reduction
- convolutional network
- high dimensional
- high dimensionality
- principal component analysis
- low dimensional
- pattern recognition
- feature extraction
- high dimensional data
- data representation
- manifold learning
- random projections
- feature space
- dimensionality reduction methods
- principal components
- dimension reduction
- linear discriminant analysis
- feature selection
- data points
- pattern recognition and machine learning
- singular value decomposition
- preprocessing step
- lower dimensional
- linear dimensionality reduction
- neural network
- sparse representation
- nonlinear dimensionality reduction
- structure preserving
- microarray
- metric learning
- nearest neighbor
- machine learning