4. The method as recited in claim 3 , the training comprising: obtaining a specialized classifier template from a store of multiple specialized classifier templates, the obtained specialized classifier template including multiple layers; re-training a top layer of the obtained specialized classifier template using images including the subset of the multiple aspects; and using ones of the multiple layers below the top layer as they exist in the obtained specialized classifier template.
4. The method as recited in claim 3 , the training comprising: obtaining a specialized classifier template from a store of multiple specialized classifier templates, the obtained specialized classifier template including multiple layers; re-training a top layer of the obtained specialized classifier template using images including the subset of the multiple aspects; and using ones of the multiple layers below the top layer as they exist in the obtained specialized classifier template. 5. The method as recited in claim 4 , the ones of the multiple layers below the top layer having been trained for use in the specialized classifier template prior to receipt of the image stream.