Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
Component Based Software Engineering has been perceived to have immense reuse potential. This area has evoked wide interest and has led to considerable investment in research and ...
This paper presents a novel modeling analysis of jitter as applicable to testing of serial data channels. Jitter is analyzed by considering separate and combined components. The pr...
Kyung Ki Kim, Jing Huang, Yong-Bin Kim, Fabrizio L...
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
We investigate a bi-variate probabilistic model-building GA for the graph bipartitioning problem. The graph bipartitioning problem is a grouping problem that requires some modifi...