Similarity Metric
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Our previous works suggest that fractal texture feature is useful to detect pediatric brain tumor in multimodal MRI. In this study, we systematically investigate efficacy of using several different image features such as intensity,... more
In the On Line Analytical Processing (OLAP) context, ex-ploration of huge and sparse data cubes is a tedious task which does not always lead to efficient results. In this paper, we couple OLAP with the Multiple Correspondence Analy-sis... more
This paper presents a probabilistic framework, QARLA, for the evaluation of text summarisation systems. The input of the framework is a set of manual (reference) summaries, a set of baseline (automatic) summaries and a set of similarity... more
Data clustering is a technique for clustering set of objects into known number of groups. Several approaches are widely applied to data clustering so that objects within the clusters are similar and objects in different clusters are far... more
A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new "normalized information distance," based on the noncomputable notion of... more
This paper describes the development of a new Internet Information Agent (IIA) that uses similarity-based methods to search the Internet. The Agent works by analysing a sample of the type of text that is known to be of interest to the... more
In an age of increasingly large data sets, investigators in many different disciplines have turned to clustering as a tool for data analysis and exploration. Existing clustering methods, however, typically depend on several nontrivial... more
Content-based image retrieval enables the user to search a database for visually similar images. In these scenarios, the user submits an example that is compared to the images in the database by their low-level characteristics such as... more
The case-based reasoning (CBR) approach is a modern approach. It is adopted for designing knowledge-based expertise systems. The aforementioned approach depends much on the stored experiences. These experiences serve as cases that can be... more
We address the problem of matching imperfectly docu- mented schemas of data streams and large databases. Instance-level schema matching algorithms identify likely correspondences between at- tributes by quantifying the similarity of their... more