This paper reports a research work to address the problem of the large number of alerts generated by the detectors in an intrusion detection system. Some of these alerts are redun...
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Data correlation is a well-known problem that causes difficulty in VLSI testing. Based on a correlation metric, an efficient heuristic to select BIST registers has been proposed...
Zhihong Zeng, Qiushuang Zhang, Ian G. Harris, Maci...
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
In this paper, we derive the explicit series expansion of the eigenvalue distribution of various models, namely the case of non-central Wishart distributions as well as one sided c...