Abstract. The unpredictable run-time configurations of dynamic, datadriven application systems require flexible simulation components that can adapt to changes in the number of i...
In this paper, we first review the approaches to recover 3D shape and related movements of a human and then we present an easy and reliable approach to recover a 3D model using jus...
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
—As the amount of data generated by today’s pervasive environments increases exponentially, there is a stronger need to decipher the important information that is hidden among ...
Gabriel Hermosillo, Lionel Seinturier, Laurence Du...