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FAME: Face Association through Model Evolution
We attack the problem of learning face models for public faces from weakly-labelled images collected from web through querying a name.
ConceptVision: A Flexible Scene Classification Framework
We introduce ConceptVision, a method that aims for high accuracy in categorizing large number of scenes, while keeping the model relatively simpler and efficient for scalability.
Rectifying Self Organizing Maps for Automatic Concept Learning from Web Images
The proposed method outperforms the state-of-the-art studies on the task of learning low-level concepts, and it is competitive in learning higher level concepts as well.
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