Reconstruction of low-rank aggregation kernels in univariate population balance equations.
Robin AhrensSabine Le BornePublished in: Adv. Comput. Math. (2021)
Keyphrases
- low rank
- linear combination
- kernel matrices
- non rigid structure from motion
- matrix factorization
- convex optimization
- missing data
- singular value decomposition
- kernel matrix
- matrix completion
- low rank matrix
- positive semidefinite
- kernel learning
- high order
- semi supervised
- reconstruction error
- matrix decomposition
- robust principal component analysis
- high dimensional data
- discrete tomography
- minimization problems
- high resolution
- binary matrices
- rank minimization
- multiple kernel learning
- kernel methods
- image reconstruction
- support vector
- singular values
- rank aggregation
- dimensionality reduction
- optical flow
- feature space