In this paper, we analyze the impact of different frame types on self-similarity and burstiness characteristics of the aggregated frame traffic from a real 802.11 wireless local a...
Xiaohu Ge, Cheng-Xiang Wang, Yang Yang, Lei Shu, C...
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Abstract The integration of database and programming languages is difficult due to the different data models and type systems prevalent in each field. We present a solution wher...
Miguel Garcia, Anastasia Izmaylova, Sibylle Schupp
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
This paper proposes a dependency parsing method that uses bilingual constraints to improve the accuracy of parsing bilingual texts (bitexts). In our method, a targetside tree frag...