Object clustering and recognition using multi-finite mixtures for semantic classes and hierarchy modeling

作者：

Highlights：

• A hierarchical statistical model for object clustering and recognition is proposed.

• An algorithm is developed for the learning for the proposed hierarchical model.

• Extensive experiments are conducted to validate the hierarchical model.

摘要

•A hierarchical statistical model for object clustering and recognition is proposed.•An algorithm is developed for the learning for the proposed hierarchical model.•Extensive experiments are conducted to validate the hierarchical model.

论文关键词：Data clustering,Mixture models,Hierarchical models,Semantic clustering,Inverted Dirichlet distribution,Maximum likelihood,Visual objects

论文评审过程：Available online 22 August 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.08.005