This paper presents our experience implementing three approaches for the 'PAN 2014 Author Identification' [3,1] task using the same representation for the author's style. Two of our approaches extend previous successful approaches: naive Bayes [4] and impostor [8] methods. The third approach is based on original research on sparse representation for text documents. We present results with the official development and test corpora.