Graphical models of brain functional connectivity have matured from con rming a priori hypotheses to an exploratory tool for discovering unknown connectivity. However, exploratory...
In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Cont...
Joel Pinto, B. Yegnanarayana, Hynek Hermansky, Mat...
H.264/scalable video coding (SVC) is a new compression technique that can adapt to various network environments and applications. However, despite its outstanding performance, H.2...
Joohyun Lee, Gwanggil Jeon, Sangjun Park, Taeyoung...
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Modern multiprocessor embedded systems execute a large number of tasks on shared processors and handle their complex communications on shared communication networks. Traditional m...
Lothar Thiele, Iuliana Bacivarov, Wolfgang Haid, K...