Relevance feedback schemes using linear/quadratic estimators have been applied in content-based image retrieval to significantly improve retrieval performance. One major difficulty in relevance feedback is to estimate the support of target images in high dimensional feature space with a relatively small number of training samples. In this paper, we develop a novel scheme based on oneclass SVM, ...

The 2015 Clinical TempEval Challenge addressed the problem of temporal reasoning in the clinical domain by providing an annotated corpus of pathology and clinical notes related to colon cancer patients. The challenge consisted of six subtasks: TIMEX3 and event span detection, TIMEX3 and event attribute classification, document relation time and narrative container relation classification. Our B...

Age related Macular Degeneration (AMD) is the primary cause of adult blindness. Currently AMD cannot be cured, however early detection does allow the progress of the condition to be inhibited. One of the first symptoms of AMD is the presence of fatty deposits, called drusen, on the retina. The presence of drusen may be identified through the manual inspection/screening of retinal images. This t...

Our research aims to assist operators in finding solutions for faults using distributed case-based reasoning. One key operation of the distributed case-based reasoning system is to retrieve similar faults and solutions from various online knowledge sources. In this paper, we propose a multi-vector representation method which employs various semantic and feature vectors to exploit the characteri...

The effectiveness of CBIR systems can be improved by combining image features or by weighting image similarities, as computed from multiple feature vectors. However, feature combination without using similarity functions does not always make sense and the combined similarity function may have to be more complex than weight-based functions in order to satisfy users’ needs. We address this proble...