As VLSI technology scales toward 65nm and beyond, both timing and power performance of integrated circuits are increasingly affected by process variations. In practice, people oft...
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Resolution enhancement techniques (RET) such as optical proximity correction (OPC) and phase-shift mask (PSM) technology are deployed in modern processes to increase the fidelity ...
Luigi Capodieci, Puneet Gupta, Andrew B. Kahng, De...
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...