Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Most digital cameras use filter arrays to sample red, green, and blue according to the Bayer pattern or similar ones. At each pixel only one color sample is taken and the values o...
Group-Lasso estimators, useful in many applications, suffer from lack of meaningful variance estimates for regression coefficients. To overcome such problems, we propose a full Ba...
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edga...
Temperature hot-spots have been known to cause severe reliability problems and to significantly increase leakage power. The register file has been previously shown to exhibit the ...
Developing an efficient object localization system for complicated industrial objects is an important, yet difficult robotic task. To tackle this problem, we have developed a syst...