In this work we leverage a weakly-labeled dataset of spectral data from NASAs IRIS satellite for the prediction solar flares using Multiple Instance Learning (MIL) paradigm. While standard supervised learning models expect label every instance, MIL relaxes and only considers bags instances to be labeled. This is ideally suited flare with that consists time series UV spectra measured along instr...

Mining the shared features of same identity in different scenes and unique identities scene are most significant challenges field person re-identification (ReID). The Online Instance Matching (OIM) loss function triplet main methods for ReID. Unfortunately, both them have drawbacks. OIM treats all samples equally puts no emphasis on hard samples. processes batch construction a complicated fussy...