The Max-Product Algorithm Viewed as Linear Data-Fusion: A Distributed Detection Scenario
نویسندگان
چکیده
منابع مشابه
Interpreting Graph Cuts as a Max-Product Algorithm
The maximum a posteriori (MAP) configuration of binary variable models with submodular graph-structured energy functions can be found efficiently and exactly by graph cuts. Max-product belief propagation (MP) has been shown to be suboptimal on this class of energy functions by a canonical counterexample where MP converges to a suboptimal fixed point (Kulesza & Pereira, 2008). In this work, we s...
متن کاملGraph Cuts is a Max-Product Algorithm
The maximum a posteriori (MAP) configuration of binary variable models with submodular graph-structured energy functions can be found efficiently and exactly by graph cuts. Max-product belief propagation (MP) has been shown to be suboptimal on this class of energy functions by a canonical counterexample where MP converges to a suboptimal fixed point (Kulesza & Pereira, 2008). In this work, we s...
متن کاملDistributed Anomaly Detection Using Satellite Data Fusion
There has been a tremendous increase in the volume of Earth science data over the last decade from modern satellites, in-situ sensors and different climate models. All these datasets need to be co-analyzed to find interesting patterns or to search for extremes or outliers. Information extraction from such rich data sources using advanced data mining methodologies is a challenging task not only ...
متن کاملLinear Objective Function Optimization with the Max-product Fuzzy Relation Inequality Constraints
In this paper, an optimization problem with a linear objective function subject to a consistent finite system of fuzzy relation inequalities using the max-product composition is studied. Since its feasible domain is non-convex, traditional linear programming methods cannot be applied to solve it. We study this problem and capture some special characteristics of its feasible domain and optimal s...
متن کاملA Min-Max Algorithm for Solving the Linear Complementarity Problem
Abstract The Linear Complementarity Problem ) , ( q M LCP is to find a vector x in n IR satisfying 0 x , 0 q Mx and x T (Mx+q)=0, where M as a matrix and q as a vector, are given data. In this paper we show that the linear complementarity problem is completely equivalent to finding the fixed point of the map x = max (0, (I-M)x-q); to find an approximation solution to the second problem, w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Wireless Communications
سال: 2020
ISSN: 1536-1276,1558-2248
DOI: 10.1109/twc.2020.3012910