Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence.
Jiahuan RenZhao ZhangJicong FanHaijun ZhangMingliang XuMeng WangPublished in: ICDM (2021)
Keyphrases
- low rank
- information loss
- rank minimization
- low rank matrix
- low rank subspace
- low rank representation
- matrix factorization
- convex optimization
- singular value decomposition
- missing data
- linear combination
- robust principal component analysis
- matrix completion
- high dimensional data
- high order
- semi supervised
- matrix decomposition
- sparse matrix
- norm minimization
- least squares
- denoising
- data points
- trace norm
- feature vectors
- decision trees
- low rank and sparse
- data sets
- neural network