K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
This paper presents a set of fast algorithm and VLSI architecture for HDTV-sized H.264 fractional motion estimation. To solve the long computational latency in HD-sized applicatio...
This paper proposes a novel method that exploits multiple resources to improve statistical machine translation (SMT) based paraphrasing. In detail, a phrasal paraphrase table and ...
Shiqi Zhao, Cheng Niu, Ming Zhou, Ting Liu, Sheng ...
It is already known that some collaborative assessment processes can provide students not only the possibility to show how well they have understood knowledge content, but also the...
Existing selfverifying solvers for dense linear (interval-)systems in C-XSC provide high accuracy, but are rather slow. A new set of solvers is presented, which are a lot faster th...