This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
The dissemination of information available through the World Wide Web makes universal access more and more important and supports visually disabled people in their everyday life. ...
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
We propose a novel news browsing system that can cluster photo news articles based on both textual features of articles and image features of news photos for a personal news databa...