Lazy Stochastic Principal Component Analysis.
Michael WojnowiczDinh NguyenLi LiXuan ZhaoPublished in: ICDM Workshops (2017)
Keyphrases
- principal component analysis
- independent component analysis
- dimensionality reduction
- covariance matrix
- dimension reduction
- discriminant analysis
- low dimensional
- principal components
- face recognition
- monte carlo
- face images
- stochastic model
- stochastic optimization
- information retrieval
- feature space
- stochastic nature
- linear discriminant analysis
- feature extraction
- database
- stochastic processes
- dimension reduction methods
- averaged one dependence estimators
- lower dimensional
- singular value decomposition
- probability distribution
- reinforcement learning
- information systems
- neural network