V-SKP: Vectorized Kernel-Based Structured Kernel Pruning for Accelerating Deep Convolutional Neural Networks.
Kwanghyun KooHyun KimPublished in: IEEE Access (2023)
Keyphrases
- convolutional neural networks
- kernel methods
- sparse kernel
- kernel pca
- convolutional network
- support vector
- kernel machines
- kernel discriminant analysis
- multiple kernel learning
- kernel ridge regression
- graph kernels
- pruning method
- kernel function
- structured data
- search space
- kernel matrix
- feature space
- support vector machine
- multiple kernel
- kernel learning
- string kernels
- discriminant analysis
- real world
- mercer kernel
- kernel regression
- kernel trick
- face recognition
- kernel based clustering
- hilbert schmidt independence criterion
- rbf kernel
- pruning algorithm
- positive definite
- component analysis
- semi supervised
- dynamic programming
- machine learning