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NETWORK
2008
159views more  NETWORK 2008»
15 years 6 months ago
Enabling Location-Based Services in Data Centers
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...
Krishna Kant, Neha Udar, R. Viswanathan
IJON
2007
118views more  IJON 2007»
15 years 6 months ago
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
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...
Simo Särkkä, Aki Vehtari, Jouko Lampinen
CN
2004
79views more  CN 2004»
15 years 6 months ago
Improving the accuracy of cell-based positioning for wireless networks
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...
Rong-Hong Jan, Hung-Chi Chu, Yi-Fang Lee
ICA
2010
Springer
15 years 7 months ago
Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays
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...
Nobutaka Ito, Emmanuel Vincent, Nobutaka Ono, R&ea...
ICANN
2009
Springer
15 years 10 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
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...
Alexander Hans, Steffen Udluft