With deep-sub-micron (DSM) technology, statistical timing analysis becomes increasingly crucial to characterize signal transmission over global interconnect wires. In this paper, ...
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
As the performance gap between processors and memory systems increases, the CPU spends more time stalled waiting for data from main memory. Critical long latency instructions, suc...
Nikil Mehta, Brian Singer, R. Iris Bahar, Michael ...