Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.
Fujiao JuYanfeng SunJunbin GaoYongli HuBaocai YinPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- bayesian inference
- dimension reduction
- probabilistic model
- feature extraction
- prior information
- principal component analysis
- high dimensional problems
- high dimensional
- low dimensional
- feature selection
- singular value decomposition
- hyperparameters
- linear discriminant analysis
- high dimensional data
- dimensionality reduction
- hierarchical bayesian
- high dimensionality
- feature space
- graphical models
- preprocessing
- unsupervised learning
- manifold learning
- image processing
- cluster analysis
- sparse metric learning
- computer vision
- similarity measure
- training data
- optical flow
- pattern recognition
- mixture model
- particle filter
- least squares