Show Me What You Mean! PARISS: A CBIR-Interface That Learns by Example
We outline the architecture of a CBIR-interface that allows the user to interactively classify images by dragging and dropping them into different piles and instructing the interface to come up with features that can mimic this classiffication. Logistic regression and Sammon projection are used to support this search mode.
KeywordsDigital Library Target Image Relevance Feedback Inference Engine Relevant Image
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