Region Classification with Markov Field Aspect Models Jakob Verbeek , Bill Triggs LJK , INRIA , 655 avenue de l ’ Europe , Montbonnot 38330 , France

@inproceedings{Verbeek2007RegionCW,
  title={Region Classification with Markov Field Aspect Models Jakob Verbeek , Bill Triggs LJK , INRIA , 655 avenue de l ’ Europe , Montbonnot 38330 , France},
  author={Jakob. Verbeek and Bill. Triggs},
  year={2007}
}
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More advanced models attempt to improve the coherence of the labellings by introducing some form of inter-patch coupling: traditional spatial models such as MRF’s provide crisper local labellings by exploiting neighbourhoodlevel couplings, while aspect models such as PLSA and LDA use global relevance estimates (global mixing… CONTINUE READING
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