—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...
This paper describes a validation experiment of a quantitative approach to the modularization of object oriented systems based on Cluster Analysis. A sample of some relatively larg...
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Abstract. Parallel relational databases have been successful in providing scalable performance for data intensive applications, and much work has been carried out on query processi...
Sandra de F. Mendes Sampaio, Jim Smith, Norman W. ...
This paper reports on the results of the Fifth International Workshop on Object-Oriented Reengineering in Oslo on June 15, 2004. It enumerates the presentations made, classifies t...