In the music information retrieval field, the most important topic is to extract the feature which represents the content from the music objects. The content feature is useful for ...
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
: Most of published audio watermark algorithms are suffered a trade-off between inaudibility and detectibility, and the detection performance depends greatly on the strength of noi...
Thuong Le-Tien, Dien Vo-Ngoc, Lan Ngo-Hoang, Sung ...
We present a working Arabic information extraction (IE) system that is used to analyze large volumes of news texts every day to extract the named entity (NE) types person, organiz...
Wajdi Zaghouani, Bruno Pouliquen, Mohamed Ebrahim,...
This paper presents a knowledge-sharing framework for achieving effective knowledge reuse within industrial organisations. This knowledge re-use paradigm goes beyond traditional e...