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TSP
2010
12 years 11 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
TIFS
2010
137views more  TIFS 2010»
12 years 11 months ago
On the dynamic selection of biometric fusion algorithms
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...
Mayank Vatsa, Richa Singh, Afzel Noore, Arun Ross
CORR
2004
Springer
115views Education» more  CORR 2004»
13 years 4 months ago
An Algorithm for Quasi-Associative and Quasi-Markovian Rules of Combination in Information Fusion
: In this paper one proposes a simple algorithm of combining the fusion rules, those rules which first use the conjunctive rule and then the transfer of conflicting mass to the non...
Florentin Smarandache, Jean Dezert
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 4 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
ICC
2007
IEEE
133views Communications» more  ICC 2007»
13 years 10 months ago
Non-Orthogonal Transmission and Noncoherent Fusion of Censored Decisions
— In this paper, we propose a novel signaling scheme and corresponding noncoherent fusion rules for wireless sensor networks. In the proposed scheme, sensors transmit censored de...
Simon Yiu, Robert Schober