Improving embedding of graphs with missing data by soft manifolds.
Andrea MarinoniPietro Lio'Alessandro BarpChristian JuttenMark GirolamiPublished in: CoRR (2023)
Keyphrases
- missing data
- graph embedding
- missing values
- structure from motion
- nonlinear dimensionality reduction
- low rank
- low dimensional
- manifold embedding
- laplacian eigenmaps
- manifold learning
- motion segmentation
- matrix factorization
- multiple imputation
- vector space
- embedding space
- neighborhood preserving
- incomplete data
- data imputation
- euclidean space
- imprecise data
- semi supervised
- missing information
- data sets
- high dimensional