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» An Observation Framework for Multi-agent Systems
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ICML
2010
IEEE
14 years 11 months ago
Active Learning for Multi-Task Adaptive Filtering
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
Abhay Harpale, Yiming Yang
VR
2008
IEEE
155views Virtual Reality» more  VR 2008»
15 years 4 months ago
The Effects of Virtual Reality, Augmented Reality, and Motion Parallax on Egocentric Depth Perception
As the use of virtual and augmented reality applications becomes more common, the need to fully understand how observers perceive spatial relationships grows more critical. One of...
Adam Jones, J. Edward Swan II, Gurjot Singh, Eric ...
ICDE
2011
IEEE
281views Database» more  ICDE 2011»
14 years 1 months ago
Declarative analysis of noisy information networks
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Walaa Eldin Moustafa, Galileo Namata, Amol Deshpan...
SIGIR
2009
ACM
15 years 4 months ago
Learning to recommend with social trust ensemble
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu
ATVA
2006
Springer
83views Hardware» more  ATVA 2006»
15 years 1 months ago
A Fresh Look at Testing for Asynchronous Communication
Testing is one of the fundamental techniques for verifying if a computing system conforms to its specification. We take a fresh look at the theory of testing for message-passing sy...
Puneet Bhateja, Paul Gastin, Madhavan Mukund