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CIDM
2009
IEEE
15 years 8 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...
TSP
2010
14 years 8 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»
15 years 1 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 6 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 5 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