We develop a fast method to localize the level set method of Osher and Sethian (1988, Journal of Computational Physics) and address two important issues that are intrinsic to the l...
Danping Peng, Barry Merriman, Stanley Osher, Hongk...
The principal aim of Project StORe is to provide middleware that will enable bi-directional links between source repositories of research data and the output repositories containi...
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
In this paper, new and efficient BIST methodology and BIST hardware insertion algorithms are presented for RTL data paths obtained from high level synthesis. The methodology is ba...