Array Shape Calibration Using Low Rank Projections.
Mark WagnerMichael BiancoSantosh NannuruPeter GerstoftPublished in: ACSSC (2018)
Keyphrases
- low rank
- linear combination
- convex optimization
- missing data
- low rank matrix
- matrix factorization
- matrix completion
- rank minimization
- semi supervised
- singular value decomposition
- shape model
- camera calibration
- high dimensional data
- matrix decomposition
- high order
- singular values
- binary matrices
- affinity matrix
- trace norm
- non rigid structure from motion
- low rank matrices
- robust principal component analysis
- minimization problems
- data matrix
- binary matrix
- rank constraint
- aspect ratio
- dimensionality reduction
- principal component analysis
- nearest neighbor
- small number