Xingliu Tao

ML-LRC: Low-rank-constraint-based Multi-label Learning with Label Noise

2020 · 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

Existing multi-label learning algorithms mostly assume that all class labels in an obtained data set are completely accurate. This assumption is rarely valid. As the scale of the label space increases, owing to limited domain …