PCA Based Kernel Initialization for Convolutional Neural Networks.
Yifeng WangYuxi RongHongyue PanKe LiuYang HuFangmin WuWei PengXingsi XueJunfeng ChenPublished in: DMBD (2020)
Keyphrases
- convolutional neural networks
- convolutional network
- principle component analysis
- kernel methods
- principal component analysis
- kernel function
- kernel machines
- principal components
- convolution kernel
- kernel space
- kernel density estimation
- support vector
- positive definite
- independent component analysis
- multiresolution
- kernel learning
- initial conditions
- component analysis
- gaussian processes
- sparse kernel
- image database
- feature extraction