Low-Rank Tensors for Scoring Dependency Structures.
Tao LeiYu XinYuan ZhangRegina BarzilayTommi S. JaakkolaPublished in: ACL (1) (2014)
Keyphrases
- low rank
- high order
- matrix factorization
- convex optimization
- missing data
- singular value decomposition
- linear combination
- matrix completion
- kernel matrix
- low rank matrix
- high dimensional data
- semi supervised
- rank minimization
- low rank matrices
- tensor factorization
- trace norm
- matrix decomposition
- robust principal component analysis
- low rank approximation
- data matrix
- higher order
- minimization problems
- non rigid structure from motion
- singular values
- object detection
- computer vision
- binary matrix
- low rank representation
- pairwise
- low rank and sparse
- training set