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Context-Aware Multi-instance Learning Based on Hierarchical Sparse Representation
2011
2011 IEEE 11th International Conference on Data Mining
Multi-instance learning (MIL), a variant of supervised learning framework, has been applied in many applications. More recently, researchers focus on two important issues for MIL: Instances' contextual structures representation in the same bag and online MIL schemes. In this paper, we present an effective context-aware multi-instance learning technique using a hierarchical sparse representation (HSR-MIL) that addresses the two challenges simultaneously. We firstly construct the inner contextual
doi:10.1109/icdm.2011.43
dblp:conf/icdm/LiXH11
fatcat:2lae6alw65hnfcw4aprqjp7xai