27. A method for face recognition, comprising: receiving at least one labeled seed image of a face, the seed image having a known confidence level; receiving unlabeled images; receiving at least one predetermined cost factor; training a transductive classifier through iterative calculation using the at least one predetermined cost factor, the at least one seed image, and the unlabeled images, wherein for each iteration of the calculations the cost factor is adjusted as a function of an expected label value; after at least some of the iterations, storing confidence scores for the unlabeled seed images; and outputting identifiers of the unlabeled images having the highest confidence scores to at least one of a user, another system, and another process.
29. The method of claim 27 , wherein confidence scores are stored after each of the iterations, wherein an identifier of the unlabeled images having the highest confidence score after each iteration is output.