This paper presents a new framework that integrates relevance feedback into region-based image retrieval (RBIR) systems based on radial basis function network (RBFN). A modified u...
In this paper, we present a novel approach, named RS2D, to risk driven semantic service query routing in unstructured, so called pure P2P networks. Following the RS2D protocol, ea...
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...
Effective information retrieval in XML documents requires the user to have good knowledge of document structure and of some formal query language. XML query languages like XPath a...
This paper is based on the observation that the nearest neighbour in a case-based prediction system may not be the best case to explain a prediction. This observation is based on t...