2 papers
cs.LG2020
Controlling for sparsity in sparse factor analysis models: adaptive latent feature sharing for piecewise linear dimensionality reduction
Adam Farooq, Yordan P. Raykov, Petar Raykov +1
Ubiquitous linear Gaussian exploratory tools such as principle component analysis (PCA) and factor analysis (FA) remain widely used as tools for: exploratory analysis, pre-processi…
stat.ML2019
Adaptive probabilistic principal component analysis
Adam Farooq, Yordan P. Raykov, Luc Evers +1
Using the linear Gaussian latent variable model as a starting point we relax some of the constraints it imposes by deriving a nonparametric latent feature Gaussian variable model.…