Constrained Low-Rank Learning Using Least Squares-Based Regularization.
Ping LiJun YuMeng WangLuming ZhangDeng CaiXuelong LiPublished in: IEEE Trans. Cybern. (2017)
Keyphrases
- low rank
- least squares
- group sparsity
- learning algorithm
- sparse linear
- learning process
- matrix factorization
- stochastic gradient descent
- linear combination
- high dimensional data
- reinforcement learning
- rank minimization
- convex optimization
- trace norm
- data sets
- matrix completion
- discriminative learning
- kernel matrix
- learning problems
- higher order
- pattern recognition