9. The method of claim 8 , further comprising training the transductive classifier by: employing the boosted classifier to classify each training connected component, represented by a respective feature vector; utilizing labels inferred from the training connected components to bin the training connected components across a plurality of bins; computing properties for each bin; and utilizing the labels, feature vectors and properties to train the transductive classifier.
11. The method of claim 9 , the bins utilized to delineate the connected components of the unlabeled data and the training data are associated with one or more histograms that correspond to at least one of the following: a number of pixels in a connected component; a height of a connected component's bounding box; a width of a connected component's bounding box; or a number of pixels in a connected component divided by a connected component's bounding box area.