In this paper, we explore services and capabilities that can be enabled by the localization of various "assets" in a data center or IT environment. We also describe the u...
This article presents the winning solution to the CATS time series prediction competition. The solution is based on classical optimal linear estimation theory. The proposed method...
The location-sensing technology is a core technology of location-based services and applications. In this paper, we present a location-sensing method, called as cell-based positio...
Abstract. This paper presents crystal-MUSIC, a method for DOA estimation of multiple sources in the presence of diffuse noise. MUSIC is well known as a method for the estimation of...
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...