Enhanced maximum likelihood face recognition
A method to enhance maximum likelihood face recognition is presented. It selects a more robust weighting parameter and discards unreliable dimensions to circumvent problems of the unreliable small and zero eigenvalues. This alleviates the over-fitting problem in face recognition, where the high dimensionality and limited number of training samples are critical issues. The proposed method gives superior experimental results.