— Precise robot positioning is important for many applications in indoor environments. Current solutions to the indoor localization problem are either both unreliable and inaccur...
Srujan Linga, Binayak Roy, H. Harry Asada, Daniela...
In this paper, we call the pattern classification problem that consists in assigning a category label to a long audio signal based on its semantic content as Generic Audio Documen...
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Despite the explosive new interest in Distributed Computing, bringing software — particularly legacy software — to parallel platforms remains a daunting task. The Self Distrib...
Bernd Klauer, Frank Eschmann, Ronald Moore, Klaus ...
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...