Soft and Hard Filter Pruning via Dimension Reduction.
Linhang CaiZhulin AnChuanguang YangYongjun XuPublished in: IJCNN (2021)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- singular value decomposition
- variable selection
- partial least squares
- feature selection
- data mining and machine learning
- manifold learning
- high dimensional problems
- high dimensional data
- random projections
- low dimensional
- high dimensionality
- feature space
- preprocessing step
- dimensionality reduction
- linear discriminant analysis
- cluster analysis
- unsupervised learning
- high dimensional data analysis
- discriminative information
- dimension reduction methods
- semi supervised
- pairwise
- support vector
- face recognition
- machine learning
- nonlinear manifold
- neural network
- data sets