Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Abstract One of the most significant paradigm shifts of modern business management is that individual businesses no longer compete as autonomous entities but rather as supply chain...
Areti Manataki, Yun-Heh Chen-Burger, Michael Rovat...
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Abstract. This article presents a new algorithm for spatial deinterlacing that could easily be integrated in a more complete deinterlacing system, typically a spatio-temporal motio...
Exploiting speculative thread-level parallelism across modules, e.g., methods, procedures, or functions, have shown promise. However, misspeculations and task creation overhead ar...