Yuan-Bo Wang

Hybrid feature-based collaborative disambiguation for multi-instance partial-label learning.

Multi-instance partial-label learning (MIPL) deals with the task of learning from multi-instance bags associated with candidate label sets. Each bag contains a set of instances, and only one true label lies within its candidate label set. Existing MIPL methods, such as DEMIPL and MIPLGP, primarily rely on bag-level agg...