Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
In this paper we propose a robust text segmentation method in complex background. The proposed method first utilizes the K-means algorithm to decompose a detected text block into ...
This paper presents the approach used by the University of Alicante in the ImageCLEF 2004 adhoc retrieval task. This task is performed by multilingual search requests (topics) agai...
We propose a framework for performing extensional and intensional temporal reasoning about qualitative and quantitative “periodicity-dependent” temporal constraints between rep...
The proposed work involves conversion of a given circuit model into a set of constraints and employing constraint solvers to generate tests for it. The method is demonstrated for ...