Low-Rank Modeling and Its Applications in Image Analysis.
Xiaowei ZhouCan YangHongyu ZhaoWeichuan YuPublished in: ACM Comput. Surv. (2014)
Keyphrases
- regularized regression
- low rank
- image analysis
- matrix factorization
- missing data
- linear combination
- convex optimization
- low rank matrix
- matrix decomposition
- high order
- singular value decomposition
- semi supervised
- high dimensional data
- matrix completion
- kernel matrix
- computer vision
- low rank representation
- trace norm
- minimization problems
- data matrix
- singular values
- neural network
- collaborative filtering
- low rank approximation
- image processing
- similarity measure
- recommender systems
- rank minimization
- non rigid structure from motion
- multiscale
- low rank matrices
- pairwise