In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
This paper describes an approach towards automating the identification of design problems with three-dimensional mediated or gaming environments through the capture and query of u...
Tim Marsh, Kiyoung Yang, Cyrus Shahabi, Wee Ling W...
— In this paper, we propose a new method for the motion planning problem of rigid object dexterous manipulation with a robotic multi-fingered hand, under quasi-static movement a...
Databases are continuously evolving environments, where design constructs are added, removed or updated quite often. Research has extensively dealt with the problem of database evo...
George Papastefanatos, Panos Vassiliadis, Yannis V...