Largest-Eigenvalue-Theory for Incremental Principal Component Analysis
Comparative Study: Face Recognition on Unspecific Persons using Linear Subspace Methods
Feedback-based Dynamic Generalized LDA for Face Recognition
Learning a Locality Preserving Subspace for Visual Recognition
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework