A sparsity constrained low-rank matrix completion approach for image tag refinement.
Mengdi LiuLei ChenWencai YeMengqiang XuPublished in: ICNC-FSKD (2016)
Keyphrases
- low rank
- matrix completion
- singular values
- rank minimization
- linear combination
- singular value decomposition
- convex optimization
- low rank matrix
- missing data
- matrix factorization
- trace norm
- low rank matrices
- input image
- semi supervised
- affinity matrix
- high order
- high dimensional data
- image classification
- kernel matrix
- incomplete data
- minimization problems
- norm minimization
- low rank approximation
- high resolution
- convex relaxation
- rank aggregation
- feature points
- nearest neighbor