Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling.
Chao LiZhun SunJinshi YuMing HouQibin ZhaoPublished in: CoRR (2018)
Keyphrases
- low rank
- convolutional neural networks
- linear combination
- kernel matrices
- kernel matrix
- singular value decomposition
- missing data
- positive semidefinite
- convex optimization
- matrix factorization
- low rank matrix
- high dimensional data
- matrix completion
- high order
- rank minimization
- matrix decomposition
- trace norm
- semi supervised
- kernel learning
- singular values
- multiple kernel learning
- semidefinite programming
- kernel function
- image processing
- kernel methods
- reproducing kernel hilbert space
- least squares
- low rank matrices
- robust principal component analysis
- minimization problems
- sparse coding
- active learning
- high dimensional
- support vector