Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Abstract. The use of subprocesses in large process models is an important step in modeling practice to handle complexity. While there are several advantages attributed to such a mo...
In this paper we consider the problem of object parsing,
namely detecting an object and its components by composing
them from image observations. Apart from object localization,
...
AS complexity of computational applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applications as w...
Yoonhee Kim, Ilkyeun Ra, Salim Hariri, Yangwoo Kim
The complexity of computational grid applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applicatio...
Yoonhee Kim, Ilkyeun Ra, Sung-Yong Park, Byoung uk...