\(\ell _p\) Regularized low-rank approximation via iterative reweighted singular value minimization.
Zhaosong LuYong ZhangJian LuPublished in: Comput. Optim. Appl. (2017)
Keyphrases
- singular values
- low rank approximation
- norm minimization
- singular value decomposition
- matrix completion
- low rank
- convex optimization
- least squares
- latent semantic indexing
- kernel matrix
- dimensionality reduction
- matrix factorization
- reconstruction error
- missing data
- data matrix
- sparse representation
- objective function
- principal component analysis
- semi supervised
- high order
- data sets
- machine learning