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98
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CIDM
2009
IEEE
15 years 4 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
90
Voted
TSP
2010
14 years 4 months ago
Optimal linear fusion for distributed detection via semidefinite programming
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...
Zhi Quan, Wing-Kin Ma, Shuguang Cui, Ali H. Sayed
CORR
2007
Springer
148views Education» more  CORR 2007»
14 years 10 months ago
Optimal Power Allocation for Distributed Detection over MIMO Channels in Wireless Sensor Networks
—In distributed detection systems with wireless sensor networks, the communication between sensors and a fusion center is not perfect due to interference and limited transmitter ...
Xin Zhang, H. Vincent Poor, Mung Chiang
CDC
2009
IEEE
113views Control Systems» more  CDC 2009»
15 years 2 months ago
Distributed and optimal reduced primal-dual algorithm for uplink OFDM resource allocation
— Orthogonal frequency division multiplexing (OFDM) is the key component of many emerging broadband wireless access standards. The resource allocation in OFDM uplink, however, is...
Xiao-Xin Zhang, Liang Chen, Jianwei Huang, Minghua...
SPAA
1990
ACM
15 years 2 months ago
Optimal Cooperative Search in Fractional Cascaded Data Structures
Fractional cascading is a technique designed to allow e cient sequential search in a graph with catalogs of total size n. The search consists of locating a key in the catalogs alo...
Roberto Tamassia, Jeffrey Scott Vitter