Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models

Alfredo Kalaitzis, Neil Lawrence

Probabilistic principal component analysis (PPCA) seeks a low dimensional representation of a data set in the presence of independent spherical Gaussian noise. The maximum likeliho…