We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Wireless sensor networks comprise typically dense deployments of large networks of small wireless capable sensor devices. In such networks, multicast is a fundamental routing servi...
Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charl...
Parallel volume rendering offers a feasible solution to the large data visualization problem by distributing both the data and rendering calculations among multiple computers con...
Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, Jame...