Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
One of the most challenging problems in high-level synthesis is how to quickly explore a wide range of design options to achieve high-quality designs. This paper presents an Integ...
Qingfeng Zhuge, Zili Shao, Bin Xiao, Edwin Hsing-M...
— We present an algorithm for pose estimation using fixed-lag smoothing. We show that fixed-lag smoothing enables inclusion of measurements from multiple asynchronous measureme...
Cache misses form a major bottleneck for memory-intensive applications, due to the significant latency of main memory accesses. Loop tiling, in conjunction with other program tran...
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...