Multi-frame motion estimation is a novel technique to improve the video coding efficiency. However, the computational complexity in motion search is usually a bottleneck in the vi...
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
The need for syntactically annotated data for use in natural language processing has increased dramatically in recent years. This is true especially for parallel treebanks, of whi...
Global Routing has been a traditional EDA problem. It has congestion elimination as the first and foremost priority. Despite of the recent development for popular rip-up and rerout...
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...