The classification of Doppler ultrasound images

is very important for conception prediction. However it is a

challenging problem that suffers from a variable length of those

images with a dimension gap between them. In this study, we

propose a latent representation weight learning method (LRWL)

for conception prediction with Doppler ultrasound images. Unlike

most existing related methods, LRWL can process a variable