Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric

27 Mar 2017Quang N. TranBa-Ngu VoDinh PhungBa-Tuong VoThuong Nguyen

Multiple instance data are sets or multi-sets of unordered elements. Using metrics or distances for sets, we propose an approach to several multiple instance learning tasks, such as clustering (unsupervised learning), classification (supervised learning), and novelty detection (semi-supervised learning)... (read more)

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