A Riemannian geometry for low-rank matrix completion
Bamdev MishraK. Adithya ApuroopRodolphe SepulchrePublished in: CoRR (2012)
Keyphrases
- matrix completion
- low rank
- missing data
- convex optimization
- linear combination
- matrix factorization
- singular value decomposition
- low rank matrix
- geodesic distance
- rank minimization
- kernel matrix
- low rank matrices
- semi supervised
- high dimensional data
- singular values
- high order
- norm minimization
- nuclear norm
- natural images
- rank aggregation
- low rank approximation
- pattern recognition
- feature extraction
- trace norm
- face recognition
- learning algorithm