435 citations · 607 across the 16 of their papers we have counts for
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cs.LG2008★ 435 cited
Multi-Instance Multi-Label Learning
Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang +1
In this paper, we propose the MIML (Multi-Instance Multi-Label learning) framework where an example is described by multiple instances and associated with multiple class labels. Co…
cs.LG2008★ 1 cited
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples
Zhi-Hua Zhou, Yu-Yin Sun, Yu-Feng Li
Multi-instance learning attempts to learn from a training set consisting of labeled bags each containing many unlabeled instances. Previous studies typically treat the instances in…