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JMLR
2010
134views more  JMLR 2010»
15 years 1 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
CVPR
2008
IEEE
16 years 8 months ago
Distributed data association and filtering for multiple target tracking
This paper presents a novel distributed framework for multi-target tracking with an efficient data association computation. A decentralized representation of trackers' motion...
Ting Yu, Ying Wu, Nils Krahnstoever, Peter H. Tu
SOSP
2009
ACM
16 years 3 months ago
Distributed aggregation for data-parallel computing: interfaces and implementations
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
Yuan Yu, Pradeep Kumar Gunda, Michael Isard
CISS
2008
IEEE
16 years 27 days ago
Distributed computation of a sparse cover in sensor networks without location information
— In this paper, we present a distributed algorithm for detecting redundancies in a sensor network with no location information. We demonstrate how, in the absence of localizatio...
Alireza Tahbaz-Salehi, Ali Jadbabaie
ICC
2007
IEEE
139views Communications» more  ICC 2007»
16 years 23 days ago
Distributed Link Scheduling for TDMA Mesh Networks
— We present a distributed scheduling algorithm for provisioning of guaranteed link bandwidths in ad hoc mesh networks. The guaranteed link bandwidths are necessary to provide de...
Petar Djukic, Shahrokh Valaee