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Cross-View Feature Selection
Exploring features for complicated objects: cross-view feature selection for multi-instance learning
In traditional multi-instance learning (MIL), instances are typically represented by using a single feature view. As MIL becoming …
Jia Wu
,
Zhibin Hong
,
Shirui Pan
,
Xingquan Zhu
,
Zhihua Cai
,
Chengqi Zhang
DOI
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