In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
Accurate network modeling is critical to the design of network protocols. Traditional modeling approaches, such as Discrete Time Markov Chains (DTMC) are limited in their ability ...
We propose a new type of database system coined OctopusDB. Our approach suggests a unified, one size fits all data processing architecture for OLTP, OLAP, streaming systems, and...
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, R...
In this paper, we address the interconnect-driven floorplanning problem that integrates OPC-friendly bus assignment with floorplanning. Buses consist of a number of horizontal/v...
Hua Xiang, Liang Deng, Li-Da Huang, Martin D. F. W...