Low-Rank Structure Learning via Nonconvex Heuristic Recovery.
Yue DengQionghai DaiRisheng LiuZengke ZhangSanqing HuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2013)
Keyphrases
- low rank
- structure learning
- convex optimization
- low rank matrices
- robust principal component analysis
- graphical models
- bayesian networks
- matrix factorization
- low rank matrix
- linear combination
- missing data
- conditional independence
- low rank and sparse
- matrix completion
- singular value decomposition
- rank minimization
- transfer learning
- parameter estimation
- semi supervised
- high dimensional data
- high order
- network structure
- objective function
- markov networks
- maximum likelihood
- optimal solution
- data mining
- collaborative filtering
- maximum likelihood estimation
- incomplete data
- training set
- total variation
- nearest neighbor