With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magne...
We study the problem of "privacy amplification": key agreement between two parties who both know a weak secret w, such as a password. (Such a setting is ubiquitous on th...
In this paper we describe Frontier, an FPGA placement system that uses design macro-blocks in conjuction with a series of placement algorithms to achieve highly-routable and high-...
This paper presents an automated performance tuning solution, which partitions a program into a number of tuning sections and finds the best combination of compiler options for e...