This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...
Abstract— The study of synchronization of population dynamics is extremely important for predicting and evaluating the risk of global extinctions. The migration in a network of p...
Abstract. This paper presents a new approach to regional myocardial contractility analysis based on inter-landmark motion (ILM) vectors and multivariate outlier detection. The prop...
Low energy consumptions are extremely important in real-time embedded systems, and scheduling is one of the techniques used to obtain lower energy consumptions. In this paper, we ...
Ying Chen, Zili Shao, Qingfeng Zhuge, Chun Xue, Bi...