Exponentially convergent stochastic k-PCA without variance reduction.
Cheng TangPublished in: CoRR (2019)
Keyphrases
- bayesian networks
- variance reduction
- monte carlo
- principal component analysis
- gradient estimation
- sample size
- bias variance decomposition
- random numbers
- dimensionality reduction
- importance sampling
- covariance matrix
- quasi monte carlo
- face recognition
- high dimensional
- feature extraction
- confidence intervals
- markov chain
- graph cuts
- naive bayes classifier
- upper bound
- feature selection