1. A computer-implemented method of face recognition in digitized images, comprising: applying a view-based classifier to a pair of digitized images, wherein the classifier includes a plurality of sub-classifiers; computing a sum of log-likelihood ratios for each of the plurality of sub-classifiers, each of the log-likelihood ratios including a ratio of a first graphical probability model representing a probability distribution over image pairs that come from the same person and a second graphical probability model representing a probability distribution over image pairs that come from different people, wherein each of the first and second graphical probability models includes a probability distribution over a set of variables where statistical independence and conditional statistical independence exist among various combinations of the variables, and wherein the graphical probability model is a probability distribution representation derived from statistical dependencies among image input variables; and determining whether the pair of digitized images are images of the same person based on the sum of log-likelihood ratios.