Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Global illumination researchers tend to think in terms of mesh density and sampling frequency, and their software reflects this in its user interface. Advanced rendering systems a...
Modern processors require highly accurate branch prediction for good performance. As such, a number of branch predictors have been proposed with varying size and complexity. This ...
We introduce a saliency model based on two key ideas. The first one is considering local and global image patch rarities as two complementary processes. The second one is based o...
The global grid model is steadily being uptaken by individuals wishing to trade in grid services. The grid was originally driven by organisations attempting to share high performa...