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...
This paper develops a novel and efficient dimension reduction scheme--Fast Adaptive Discriminant Analysis (FADA). FADA can find a good projection with adaptation to different sampl...
— This work develops an analytic framework for clock tree analysis considering process variations that is shown to correspond well with Monte Carlo results. The analysis framewor...
Matthew R. Guthaus, Dennis Sylvester, Richard B. B...
The analysis of handwritten documents from the viewpoint of determining their authorship has great bearing on the criminal justice system. In many cases, only a limited amount of ...
Sargur N. Srihari, Catalin I. Tomai, Bin Zhang, Sa...
Broadening adoption of social media applications within the enterprise offers a new and valuable data source for insight into the social structure of organizations. Social media ap...