Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements.
Seyedehsara NayerPraneeth NarayanamurthyNamrata VaswaniPublished in: ICML (2019)
Keyphrases
- low rank matrix recovery
- principal component analysis
- low rank
- robust principal component analysis
- low rank and sparse
- robust face recognition
- singular value decomposition
- face recognition
- data matrix
- object detection
- gabor features
- convex optimization
- dimensionality reduction
- sparse representation
- feature extraction
- signal recovery
- pairwise
- principal components
- random projections
- independent component analysis
- matrix factorization
- low rank matrix
- low dimensional
- negative matrix factorization
- high dimensional
- subspace learning
- high order
- feature space
- face images
- k means
- high dimensional data
- linear combination
- object recognition