Low-Rank and Locally Linear Embedding Approach to Image Inpainting.
Ryohei SasakiKatsumi KonishiTomohiro TakahashiToshihiro FurukawaPublished in: VCIP (2018)
Keyphrases
- low rank
- high dimensional data
- dimensionality reduction
- manifold learning
- low dimensional
- singular value decomposition
- semi supervised
- image denoising
- linear combination
- convex optimization
- nearest neighbor
- data sets
- matrix factorization
- high dimensional
- variational framework
- missing data
- data points
- data analysis
- sparse representation
- principal component analysis
- denoising
- high order
- pattern recognition
- computer graphics
- pairwise
- object recognition
- subspace learning
- feature selection