In this paper, we present a novel approach to contentsbased image retrieval. The method hinges in the use of quasi-random sampling to retrieve those images in a database which are...
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. We implemented the process of information retrieva...
On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, w...
This paper reports the results of a study investigating the relevance criteria used by health care professionals when seeking medical images. Data was collected from 26 participan...