Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.
Fujiao JuYanfeng SunJunbin GaoYongli HuBaocai YinPublished in: CoRR (2017)
Keyphrases
- dimension reduction
- bayesian inference
- probabilistic model
- prior information
- feature extraction
- principal component analysis
- high dimensional
- hyperparameters
- feature selection
- high dimensional problems
- high dimensionality
- singular value decomposition
- feature space
- low dimensional
- manifold learning
- hierarchical bayesian
- high dimensional data
- linear discriminant analysis
- dimensionality reduction
- cluster analysis
- unsupervised learning
- particle filter
- data sets
- regression model
- training set
- image segmentation
- image processing
- sparse metric learning