9. The computer-implemented method of claim 6 , wherein determining the respective likelihood that the term is associated with the visual word based at least in part on the first probability and the second probability further comprises: determining a sum of the first probability and the second probability; and determining the likelihood that the term is associated with the visual word based at least in part on dividing the first probability by the sum.
6. The computer-implemented method of claim 5 , wherein determining the set of visual words from the visual words further comprises: determining a respective first count for each visual word that co-occurs in the first set of images, wherein each co-occurrence is determined based on a pairwise comparison between images in the first set of images; determining a respective second count for each visual word that co-occurs in the second set of images, wherein each co-occurrence is determined based on a pairwise comparison between images in the first set of images and images in the second set of images; determining, for each visual word and based at least in part on the respective first count for the visual word, a respective first probability that the term is associated with the visual word; determining, for each visual word and based at least in part on the respective second count for the visual word, a respective second probability that the term is not associated with the visual word; and determining a respective likelihood that the term is associated with the visual word based at least in part on the first probability and the second probability.