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...
, are to address what we perceive as the most pressing shortcomings of current reflective middleware platforms. First, performance: in the worst case, this needs to be on a par wit...
Gordon S. Blair, Geoff Coulson, Michael Clarke, Ni...
We present in this paper a solution for 3D face and facial feature tracking using canonical correlation analysis and a 3D geometric model. This model is controlled with 17 paramet...
To achieve high instruction throughput, instruction schedulers must be capable of producing high-quality schedules that maximize functional unit utilization while at the same time...
Design of an anisotropic diffusion-based filter that performs Bayesian classification for automatic selection of a proper weight for fairing polygon meshes is proposed. The data a...
Chun-Yen Chen, Kuo-Young Cheng, Hong-Yuan Mark Lia...