We trained classifiers for words or (normalised) attribute types which occurred more than 10 times in the corpus.
given an image description D : where w a i indicates an attribute word, and w c indicates a category word, we compute a score for a given photograph P and using the word/image classifiers s w (•) as follows: (attribute contributions are combined additively and then multiplicatively with the category.