In this paper, an efficient technique for test data volume reduction based on the shared scan-in (Illinois Scan) architecture and the scan chain reconfiguration (Dynamic Scan) arc...
Samitha Samaranayake, Emil Gizdarski, Nodari Sitch...
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
The size of a test-suite has a direct impact on the costs and the effort of software testing. Especially during regression testing, when software is re-tested after some modifica...
— 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...
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...