Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks.
Andong WangChao LiMingyuan BaiZhong JinGuoxu ZhouQibin ZhaoPublished in: CoRR (2023)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- neural network
- trace norm
- high order
- low rank representation
- low rank subspace
- convex optimization
- matrix factorization
- tensor decomposition
- robust principal component analysis
- missing data
- singular value decomposition
- frobenius norm
- matrix completion
- linear combination
- norm minimization
- semi supervised
- high dimensional data
- kernel matrix
- higher order
- collaborative filtering
- low rank matrices
- pattern recognition
- minimization problems
- matrix decomposition
- data sets
- robust face recognition
- affinity matrix
- tensor factorization
- pairwise
- machine learning
- face recognition
- dimensionality reduction