We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
The classical approach to using utility functions suffers from the drawback of having to design and tweak the functions on a case by case basis. Inspired by examples from the anim...
Alexander S. Klyubin, Daniel Polani, Chrystopher L...
This article presents a preceding car rear view tracking algorithm which utilizes a particle filter and belief function data fusion. Most of tracking applications resort to only o...
In this paper, we identify two main bottlenecks in the functional diagnosis flow and propose new ways to overcome these. Our approach completely eliminates the “Primary Input (P...
Vishnu C. Vimjam, Enamul Amyeen, Ruifeng Guo, Srik...
Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we ...