Identifying Hard Noise in Long-Tailed Sample Distribution

Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua +2

Conventional de-noising methods rely on the assumption that all samples are independent and identically distributed, so the resultant classifier, though disturbed by noise, can sti…