Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data.
Heng Tao ShenYonghua ZhuWei ZhengXiaofeng ZhuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- half quadratic
- incomplete data
- unsupervised feature selection
- edge preserving
- image recovery
- feature selection
- missing data
- data clustering
- missing values
- anisotropic diffusion
- bayesian networks
- em algorithm
- total variation
- noise reduction
- primal dual
- dimensionality reduction
- unsupervised learning
- image restoration
- active learning
- markov random field
- object recognition
- data sets