Recent advances in weakly supervised classification allow us to train a classifier only from positive and unlabeled (PU) data. However, existing PU methods typically require an accurate estimate of the class-prior probability, which is critical bottleneck particularly for high-dimensional This problem has been commonly addressed by applying principal component analysis advance, but such unsuper...