Map-reduce framework has received a significant attention and is being used for programming both large-scale clusters and multi-core systems. While the high productivity aspect of ...
Brain surface conformal mapping research has been successful and this motivates our more general investigation of 3D volumetric brain harmonic mapping. By transforming the full 3D...
Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Tho...
New media and signal processing applications demand ever higher performance while operating within the tight power constraints of mobile devices. A range of hardware implementatio...
Kevin Fan, Manjunath Kudlur, Ganesh S. Dasika, Sco...
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...