10. A method as in claim 1 , wherein each of said labels include corresponding confidences quantitatively indicating the likelihood of an object represented by a label being present in corresponding unlabeled exemplar and classifying corresponding said unlabeled exemplars.
10. A method as in claim 1 , wherein each of said labels include corresponding confidences quantitatively indicating the likelihood of an object represented by a label being present in corresponding unlabeled exemplar and classifying corresponding said unlabeled exemplars. 12. A method as in claim 10 , wherein ones of said confidences are binary indicators indicating the presence or absence of each label in a corresponding exemplar.