San Francisco / Cambridge / Providence / Paris / /
Company
Mitsubishi Electric Laboratories / Probabilistic Networks / Expert Systems / /
Country
France / United Kingdom / / /
Facility
University of South Australia / University Press / Neural Computation Hebrew University of Jerusalem Jerusalem / Electrical Eng.-Systems Tel Aviv University / /
IndustryTerm
generalized belief propagation algorithms / ad-hoc wireless networks / junction tree algorithm / cellular networks / hexagonal cellular network / rectangular cellular network / free energy approximations / indoor wireless local area networks / 9×9 cellular network / typical hexagonal cellular network / sum-product algorithm / magnetic and optical recording systems / cellular network / detection algorithm / rectangular and hexagonal cellular networks / belief propagation algorithm / approximate inference algorithms / approximations in many applications / local message passing algorithm / approximation algorithms / /
Organization
University of South Australia / American Mathematical Society / Neural Computation Hebrew University of Jerusalem Jerusalem / Yair Weiss Faculty of Engineering Dept. / Australian Government / Tel Aviv University / Australia-Israel Chamber of Commerce / Institute for Telecommunications Research / /
Person
Pr / Anthony J. Weiss Noam Shental / Morgan Kaufmann / /
Position
D. J. / model / /
ProvinceOrState
South Australia / Rhode Island / Massachusetts / /
Region
South Australia / /
Technology
Inference The junction tree algorithm / LAN / central processor / sum-product algorithm / junction tree algorithm / approximate inference algorithms / http / approximation algorithms / local message passing algorithm / simulation / belief propagation algorithm / local area networks / generalized belief propagation algorithms / detection algorithm / /
Generalized Belief Propagation Receiver for Near-Optimal Detection of Two-Dimensional Channels with Memory Ori Shental1 and Anthony J. Weiss Noam Shental and Yair Weiss