Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation.
Yu-Shan TaiCheng-Yang ChangChieh-Fang TengAn-Yeu Andy WuPublished in: CoRR (2022)
Keyphrases
- dimension reduction
- feature extraction
- low dimensional
- high dimensional
- principal component analysis
- high dimensional problems
- linear discriminant analysis
- data mining and machine learning
- high dimensional data
- manifold learning
- random projections
- partial least squares
- discriminative information
- dimensionality reduction
- variable selection
- feature selection
- singular value decomposition
- high dimensionality
- cluster analysis
- feature space
- preprocessing
- high dimensional data analysis
- databases
- learning algorithm
- real world
- support vector machine svm
- supervised learning
- face recognition