2. The non-transitory storage medium as set forth in claim 1 , wherein the objects comprise documents including text, the feature representations comprise bag-of-words representations, and the set of features comprises a set of vocabulary words.
2. The non-transitory storage medium as set forth in claim 1 , wherein the objects comprise documents including text, the feature representations comprise bag-of-words representations, and the set of features comprises a set of vocabulary words. 3. The non-transitory storage medium as set forth in claim 2 , wherein the performing LDA comprises: performing LDA with an IBP compound Dirichlet prior probability distribution configured such that the inferred topic model associates a focused sub-set of the set of topics to each document of the training corpus.