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This paper proposes a method to find analogical images using given query images. Specifically, given four images a, b, c, and d, we would like to find a transformed version of c such that it is similar to the transformation from a to b when applied to d. This is an interesting problem and should be of interest to image recognition community in general because if images could be represented in a space (vectors in the proposed method), then such translation invariant representations could simplify the task of recognizing images thereby improving recognition accuracies. Although using analogical methods for image recognition is a relatively new topic in the visual domain, it has a well established history in NLP. For example, SAT word analogy questions have been used to evaluate the performance of analogy detection methods.