Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
We present a method coupling multiple switching linear models. The coupled switching linear model is an interactive process of two switching linear models. Coupling is given throu...
Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yo...
This paper presents a system that is able to track multiple faces under varying pose (tilted and rotated) reliably in real-time. The system consists of two interactive modules. Th...
Tao Yang, Stan Z. Li, Quan Pan, Jing Li, Chunhui Z...
A number of technology-rich spaces have been designed and created over the last few years with the purpose of supporting and enhancing learning, collaboration, community participa...