We present a model for image retrieval in which images are represented both at the form level, as sets of physical features of the representing objects, and at the content level, a...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
In this study, we suggest a method to adapt an image retrieval system into a configurable one. Basically, original feature space of a content-based retrieval system is nonlinearly...
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...