We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
—A new interactive visualization tool is proposed for textual data mining based on bipartite graph visualization. Applications to three text datasets are presented to show the ca...
Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Ta...
A deterministic partitioning technique for fault diagnosis in Scan-Based BIST is proposed. Properties of high quality partitions for improved fault diagnosis times are identified...
Clustered architectures are a solution to the bottleneck of centralized register files in superscalar and VLIW processors. The main challenge associated with clustered architectu...