2DLDA based semi-supervised face recognition

Semi-supervised clustering refers to a general class of machine learning techniques that use both labeled and unlabeled data for training. Different types of semi-supervised algorithms have been proposed by different authors for face recognition [6,7]. For example, Yang suggested a semi-supervised optimal locality preserving projection method for face recognition [8].