Simpler non-parametric methods provide as good or better results to multiple-instance learning.

IEEE International Conference on Computer Vision 2015 Ragav VenkatesanParag ChandakkarBaoxin Li

Multiple-instance learning (MIL) is a unique learning problem in which training data labels are available only for collections of objects (called bags) instead of individual objects (called instances). A plethora of approaches have been developed to solve this problem in the past years... (read more)

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