A Conditional Random Field for Multiple-Instance LearningA Conditional Random Field for Multiple-Instance Learning Thomas Deselaers deselaers@vision.ee.ethz.ch Vittorio Ferrari ferrari@vision.ee.ethz.ch Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland Abstract We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines discrimi
