In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
Although digital images indexing and querying techniques have extensively been studied for the last years, few systems are dedicated to medical images today while the need for con...
Tristan Glatard, Johan Montagnat, Isabelle E. Magn...
This work aims at supporting the retrieval and indexing of medical images by extracting and organizing intrinsic features of them, more specifically texture attributes from images...
Joaquim Cezar Felipe, Agma J. M. Traina, Caetano T...