Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network.
Chenyin GaoShu YangAnru R. ZhangPublished in: CoRR (2022)
Keyphrases
- convolutional neural network
- low rank
- denoising
- linear combination
- trace norm
- high order
- frobenius norm
- tensor decomposition
- total variation
- convex optimization
- image denoising
- face detection
- missing data
- matrix factorization
- natural images
- matrix completion
- low rank matrix
- kernel matrix
- singular value decomposition
- image processing
- semi supervised
- higher order
- rank minimization
- neural network
- matrix decomposition
- tensor factorization
- singular values
- robust principal component analysis
- data matrix
- small number
- low rank matrices
- high dimensional data
- minimization problems
- training data
- image restoration
- feature extraction
- norm minimization
- regularization term