This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
A cost-effective approach to building up scalable Videoon-Demand (VoD) servers is to couple a number of VoD servers together in a cluster. In this article, we study a crucial vide...
In this paper, we propose a topic detection method using a dialogue history for selecting a scene in the automatic interpretation system (Ikeda et al., 2002). The method uses a k-...