This paper presents a model for retrieval of images from a large World Wide Web based collection. Rather than considering complex visual recognition algorithms, the model presente...
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
We propose a content-based information retrieval (CBIR) method that models known relationships between multimedia objects as a hierarchical tree-structure incorporating additional ...
Abstract. In this paper an effective context-based approach for interactive similarity queries is presented. By exploiting the notion of image “context”, it is possible to asso...
Resource selection is an important task in Federated Search to select a small number of most relevant information sources. Current resource selection algorithms such as GlOSS, COR...
Dzung Hong, Luo Si, Paul Bracke, Michael Witt, Tim...