Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning.
Xiaowei ZhaoFeiping NieSen WangJun GuoPengfei XuXiaojiang ChenPublished in: Neural Comput. (2017)
Keyphrases
- structure learning
- dimensionality reduction
- bayesian networks
- graphical models
- conditional independence
- markov logic networks
- transfer learning
- unsupervised learning
- parameter learning
- bayesian network structure learning
- principal component analysis
- feature extraction
- low dimensional
- high dimensional
- sample size
- markov networks
- feature space
- random variables
- supervised learning
- image processing
- high dimensional data
- semi supervised
- structure learning algorithm