This paper presents accurate area, time, power estimation models for implementations using FPGAs from the Xilinx Virtex-2Pro family [1]. These models are designed to facilitate ef...
This paper presents an efficient methodology for estimating the energy consumption of application programs running on extensible processors. Extensible processors, which are incr...
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Imagine some program and a number of changes. If none of these changes is applied (“yesterday”), the program works. If all changes are applied (“today”), the program does n...
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...