Several sophisticated methods are available for efficient rendering of out-of-core terrain data sets. For huge data sets the use of preprocessed tiles has proven to be more effici...
Roland Wahl, Manuel Massing, Patrick Degener, Mich...
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Music information retrieval is becoming very important with the ever-increasing growth of music content in digital libraries, peer-to-peer systems and the internet. While it is ea...
Bin Cui, H. V. Jagadish, Beng Chin Ooi, Kian-Lee T...
We address the normal reconstruction problem by photometric stereo using a uniform and dense set of photometric images captured at fixed viewpoint. Our method is robust to spurio...
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...