• Multiple Instance Choquet Integral for multiresolution sensor fusion 

    Du, Xiaoxiao (University of Missouri--Columbia, 2017)
    Imagine you are traveling to Columbia, MO for the first time. On your flight to Columbia, the woman sitting next to you recommended a bakery by a large park with a big yellow umbrella outside. After you land, you need ...
  • Target concept learning from ambiguously labeled data 

    Jiao, Changzhe (University of Missouri--Columbia, 2017)
    The multiple instance learning problem addresses the case where training data comes with label ambiguity, i.e., the learner has access only to inaccurately labeled data. For example, in target detection from remotely sensed ...