Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
In this paper a new approach for a metrics based software visualization is presented which supports an efficient and effective quality assessment of large object-oriented software...
Research into collaborative document use often concentrates on how people share document content. However, studies of real-world document practices reveal that the structures by w...