Principal component analysis based on non-parametric maximum entropy.
Ran HeBao-Gang HuXiaotong YuanWei-Shi ZhengPublished in: Neurocomputing (2010)
Keyphrases
- maximum entropy
- principal component analysis
- principal components
- maximum entropy principle
- markov models
- dimensionality reduction
- covariance matrix
- maximum entropy model
- probabilistic logic
- face recognition
- low dimensional
- feature extraction
- class conditional
- principle of maximum entropy
- random fields
- transformation based learning
- feature space
- iterative scaling
- conditional random fields
- minimum cross entropy
- bregman divergences
- singular value decomposition
- gaussian process
- graphical models
- input image