In this paper, we show the necessity of reconfigurable hardware for data and signal processing in wireless mobile terminals. We first identify the key processing power requirement...
Usability evaluation methods have a long history of research. Latest contributions significantly raised the validity of method evaluation studies. But there is still a measurement...
As transistor process technology approaches the nanometer scale, process variation significantly affects the design and optimization of high performance microprocessors. Prior stu...
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
We present a spreadsheet debugger targeted at end users. Whenever the computed output of a cell is incorrect, the user can supply an expected value for a cell, which is employed b...