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» Learning Dynamic Bayesian Networks
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RECSYS
2009
ACM
14 years 2 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
NOSSDAV
2010
Springer
14 years 8 days ago
TSync: a new synchronization framework for multi-site 3D tele-immersion
Synchronization is a challenge in the multi-site 3D teleimmersion (3DTI) because it is complicated by the coexistence of highly correlated heterogenous streams from multiple sourc...
Zixia Huang, Wanmin Wu, Klara Nahrstedt, Md. Ahsan...
WWW
2003
ACM
14 years 8 months ago
Super-peer-based routing and clustering strategies for RDF-based peer-to-peer networks
RDF-based P2P networks have a number of advantages compared with simpler P2P networks such as Napster, Gnutella or with approaches based on distributed indices such as CAN and CHO...
Alexander Löser, Christoph Schmitz, Ingo Brun...
PAMI
2007
186views more  PAMI 2007»
13 years 7 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
TCOM
2010
159views more  TCOM 2010»
13 years 5 months ago
Evolutionary cooperative spectrum sensing game: how to collaborate?
—Cooperative spectrum sensing has been shown to be able to greatly improve the sensing performance in cognitive radio networks. However, if cognitive users belong to different se...
Beibei Wang, K. J. Ray Liu, T. Charles Clancy