Progressive principle component analysis for compressing deep convolutional neural networks.
Jing ZhouHaobo QiYu ChenHansheng WangPublished in: Neurocomputing (2021)
Keyphrases
- principle component analysis
- convolutional neural networks
- independent component analysis
- dimension reduction
- svm classifier
- feature extraction
- face recognition
- feature space
- high dimensional feature space
- lower dimensional
- principal components analysis
- principal component analysis
- random projections
- kernel function
- principal components
- singular value decomposition
- nearest neighbor classifier
- covariance matrix
- pattern recognition
- dimensionality reduction
- face databases
- random sampling
- higher dimensional
- subspace methods