Manifold constrained joint sparse learning via non-convex regularization.
Jingjing LiuXianchao XiuXin JiangWanquan LiuXiaoyang ZengMingyu WangHui ChenPublished in: Neurocomputing (2021)
Keyphrases
- sparse learning
- elastic net
- multi task
- regularization framework
- sparse representation
- low dimensional
- convex optimization
- topology preserving
- relevance vector machine
- sparse coding
- finite dimensional
- high dimensional
- regularization parameter
- dimensionality reduction
- self organizing maps
- feature space
- gaussian processes
- support vector machine