Most recent domain adaptation (DA) methods deal with unsupervised setup, which requires numerous target images for training. However, constructing a large-scale image set of the is occasionally much harder than preparing smaller number and label pairs. To cope problem, great attention recently paid to supervised (SDA), takes an extremely small amount labeled training (e.g., at most three exampl...