Principal Graph and Structure Learning Based on Reversed Graph Embedding.
Qi MaoLi WangIvor W. TsangYijun SunPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2017)
Keyphrases
- graph embedding
- structure learning
- bayesian networks
- graphical models
- discriminant analysis
- low dimensional
- semi supervised
- data representation
- dimensionality reduction
- conditional independence
- transfer learning
- parameter estimation
- subspace learning
- graph structure
- label information
- dictionary learning
- manifold learning
- markov networks
- high dimensional
- sample size
- labeled data
- maximum likelihood
- pairwise constraints
- network structure
- feature extraction
- pattern recognition
- feature representation
- data distribution
- model selection
- support vector machine