Hierarchical HMM (HHMM) parsers make promising cognitive models: while they use a bounded model of working memory and pursue incremental hypotheses in parallel, they still achieve...
Stephen Wu, Asaf Bachrach, Carlos Cardenas, Willia...
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Achieving design closure is one of the biggest headaches for modern VLSI designers. This problem is exacerbated by high-level design automation tools that ignore increasingly impo...
Zhenyu (Peter) Gu, Jia Wang, Robert P. Dick, Hai Z...
— Criticality and yield gradients are two crucial diagnostic metrics obtained from Statistical Static Timing Analysis (SSTA). They provide valuable information to guide timing op...
Jinjun Xiong, Vladimir Zolotov, Chandu Visweswaria...
In this paper, we investigate an approach that computes salient points, i.e. areas of natural images that contain corners or edges, incrementally. We focus on the popular Harris c...