Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery.
Tyler MaunuThibaut Le GouicPhilippe RigolletPublished in: AISTATS (2023)
Keyphrases
- low rank matrix recovery
- low rank
- robust face recognition
- object detection
- low rank and sparse
- low rank matrix
- sparse representation
- salient object detection
- convex optimization
- missing data
- matrix factorization
- singular value decomposition
- linear combination
- high dimensional data
- signal recovery
- face recognition
- feature analysis
- data sets
- semi supervised
- face detection
- gabor features
- approximation methods
- varying illumination
- sparse matrix
- recommender systems