In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Abstract. The application of run-time reconfigurable component models to networked embedded systems has a number of significant advantages such as encouraging software reuse, ada...
Nelson Matthys, Danny Hughes, Sam Michiels, Christ...
ing models and HW-SW Interfaces Abstraction for Multi-Processor SoC Ahmed A. Jerraya TIMA Laboratory 46 Ave Felix Viallet 38031 Grenoble CEDEX, France +33476574759 Ahmed.Jerraya@im...
This paper exploresthe useof visualoperatorsfor solidsmodeling. We focus on designing interfaces for free-form operators such as blends, sweeps, and deformations, because these op...
New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test ...
Jack DiGiovanna, Loris Marchal, Prapaporn Rattanat...