Ruiz, Adrià; Rudovic, Ognjen; Binefa i Valls, Xavier; Pantic, Maja
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
We propose a multi-instance-learning (MIL) approach for weakly supervised learning problems, where a training set is formed by bags (sets of feature vectors or instances) and only labels at bag-level are provided. Specifically, ...