A novel approach to semi-automatically and progressively annotating images with keywords is presented. The progressive annotation process is embedded in the course of integrated keyword-based and content-based image retrieval and user feedback. When the user submits a keyword query and then provides relevance feedback, the search keywords are automatically added to the images that receive posit...

Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an expanded query from the content of elements marked as relevant or nonrelevant. This approach that is inspired by text-based IR completely ignores the semistructured nature of XML. This paper makes the important step f...

A common task in text analysis is find conceptually-linked passages of text such as examples of themes, imagery, and descriptions of events. In the past, researchers looking to find such passages have had to rely on searching for sets of keywords. However, themes, descriptions, and imagery may surface with many different phrasings, making retrieval based on keyword search difficult. We investig...

In this article we report our research on building FEATURES—an intelligent web search engine that is able to perform real-time adaptive feature (i.e., keyword) and document learning. Not only does FEATURES learn from the user’s document relevance feedback, but it also automatically extracts and suggests indexing keywords relevant to a search query and learns from the user’s keyword relevance fe...

We present a pseudo relevance feedback technique for information retrieval, which expands keyword queries with semantic annotation found in the freely available Del.icio.us collaborative tagging system. We hypothesise that collaborative tags represent semantic information that may render queries more informative, and hence enhance retrieval performance. Experiments with three different techniqu...

This paper deals with feedback controller synthesis for timed event graphs in dioids, where the number of initial tokens and time delays are only known to belong to intervals. The synthesis presented here is mainly based on dioid, interval analysis and residuation theory. keyword Discrete-event systems ; Timed event graphs ; Dioid ; Interval analysis ; Residuation theory ; Feedback synthesis