GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction.
Yujin ZhuZhe WangDaqi GaoDongdong LiPublished in: Eng. Appl. Artif. Intell. (2017)
Keyphrases
- probabilistic model
- dimensionality reduction
- bayesian framework
- special case
- low dimensional
- graph embedding
- statistical models
- manifold learning
- mathematical framework
- neural network
- prior knowledge
- main contribution
- modeling framework
- structure preserving
- random projections
- data representation
- knn
- feature extraction