Machine Learning.
dimension increase → most points are equidistant. Sampling hard negative examples → gradient has high variance and low signal to noise ratio → WOW! → So not much signal! (good point) Distance-weighted sampling → corrects the bias while controlling the variance → interesting sampling method → to