In many image analysis applications there is a need to extract curves in noisy images. To achieve a more robust extraction, one can exploit correlations of oriented features over a...
Erik Franken, Markus van Almsick, Peter Rongen, Lu...
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
The development of complex scientific applications for high-end systems is a challenging task. Addressing complexity of the involved software and algorithms is becoming increasing...
Manojkumar Krishnan, Yuri Alexeev, Theresa L. Wind...
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...
The problem of point-to-point shortest path computation in spatial networks is extensively studied with many approaches proposed to speed-up the computation. Most of the existing ...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...