One of the themes in building reusable and maintainable software is identifying similarities and designing generic solutions to unify similarity patterns. In this paper, we analyze...
This paper presents a probabilistic similarity measure for object recognition from large libraries of line-patterns. We commence from a structural pattern representation which use...
We introduce the problem of grammar mining, where patterns are context-free grammars, as a generalization of a large number of common pattern mining tasks, such as tree, sequence ...
This paper presents a technique that limits the maximum number of specified bits of any pattern in a given test set. The outlined method uses algorithms similar to ATPG, but explo...
Michael A. Kochte, Christian G. Zoellin, Michael E...
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...