Mixture-of-Subspaces in Low-Rank Adaptation.
Taiqiang WuJiahao WangZhe ZhaoNgai WongPublished in: CoRR (2024)
Keyphrases
- low rank
- high dimensional data
- low rank representation
- matrix factorization
- convex optimization
- missing data
- linear combination
- matrix completion
- low rank matrix
- rank minimization
- singular value decomposition
- mixture model
- affinity matrix
- nearest neighbor
- matrix decomposition
- semi supervised
- high order
- dimensionality reduction
- low dimensional
- minimization problems
- subspace clustering
- robust principal component analysis
- trace norm
- data sets
- original data
- gaussian mixture model
- principal component analysis
- data points
- high dimensional
- data analysis
- singular values
- expectation maximization
- kernel function
- em algorithm
- collaborative filtering
- non rigid structure from motion
- low rank matrices
- feature selection