Domain Generalization and Adaptation Using Low Rank Exemplar SVMs.
Wen LiZheng XuDong XuDengxin DaiLuc Van GoolPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2018)
Keyphrases
- low rank
- convex optimization
- missing data
- matrix completion
- support vector
- linear combination
- low rank matrix
- matrix factorization
- rank minimization
- matrix decomposition
- semi supervised
- high order
- singular value decomposition
- kernel matrix
- high dimensional data
- training set
- trace norm
- robust principal component analysis
- multi class
- feature selection
- minimization problems
- low rank matrices
- machine learning
- kernel function
- maximum margin
- singular values
- input image
- small number
- feature vectors