Bayesian compressive principal component analysis.
Di MaSongcan ChenPublished in: Frontiers Comput. Sci. (2020)
Keyphrases
- principal component analysis
- random projections
- independent component analysis
- covariance matrix
- compressive sensing
- dimension reduction
- principal components
- singular value decomposition
- discriminant analysis
- dimensionality reduction
- maximum likelihood
- machine learning
- bayesian learning
- posterior probability
- data driven
- face recognition
- bayesian analysis
- bayesian estimation
- decision theory
- bayesian networks
- low dimensional
- bayesian decision
- sampling rate
- lower dimensional
- prior knowledge
- linear discriminant analysis
- face images
- support vector
- bayesian inference
- bayesian methods
- negative matrix factorization
- image processing
- feature space
- decision making
- real time
- input image
- generative model