In self-organizing networks of battery-powered wireless sensors that can sense, process, and communicate, energy is the most crucial and scarce resource. However, since sensor netw...
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
MorphoSys is a reconfigurable SIMD architecture. In this paper, a BSP-based ray tracing is gracefully mapped onto MorphoSys. The mapping highly exploits ray-tracing parallelism. A...
Haitao Du, Marcos Sanchez-Elez, Nozar Tabrizi, Nad...
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
In many scientific domains, researchers are turning to large-scale behavioral simulations to better understand real-world phenomena. While there has been a great deal of work on s...
Guozhang Wang, Marcos Antonio Vaz Salles, Benjamin...