Concave Mirsky Inequality and Low-Rank Recovery.
Simon FoucartPublished in: SIAM J. Matrix Anal. Appl. (2018)
Keyphrases
- low rank
- missing data
- convex optimization
- linear combination
- singular value decomposition
- matrix factorization
- low rank matrix
- matrix completion
- semi supervised
- rank minimization
- kernel matrix
- high dimensional data
- data matrix
- minimization problems
- matrix decomposition
- objective function
- high order
- trace norm
- computer vision
- machine learning
- low rank representation
- low rank matrices
- singular values
- low rank approximation
- total variation
- missing values
- higher order
- object detection
- nearest neighbor
- knn
- non rigid structure from motion
- image processing
- data sets
- robust principal component analysis