TY - GEN
T1 - Tandem distributed detection with conditionally dependent observations
AU - Yang, Pengfei
AU - Chen, Biao
AU - Chen, Hao
AU - Varshney, Pramod K.
PY - 2012
Y1 - 2012
N2 - This paper deals with distributed detection using a tandem network with conditionally dependent observations. Our approach utilizes a recently proposed hierarchical conditional independence model where a hidden variable is introduced and induces conditional independence among sensor observations. If the hidden variable is discrete, optimal local decision rules are reminiscent that of the conditional independence case. For continuous scalar hidden variable, similar results can be obtained when additional monotonicity conditions are imposed.
AB - This paper deals with distributed detection using a tandem network with conditionally dependent observations. Our approach utilizes a recently proposed hierarchical conditional independence model where a hidden variable is introduced and induces conditional independence among sensor observations. If the hidden variable is discrete, optimal local decision rules are reminiscent that of the conditional independence case. For continuous scalar hidden variable, similar results can be obtained when additional monotonicity conditions are imposed.
UR - http://www.scopus.com/inward/record.url?scp=84867644236&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867644236&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84867644236
SN - 9780982443859
T3 - 15th International Conference on Information Fusion, FUSION 2012
SP - 1808
EP - 1813
BT - 15th International Conference on Information Fusion, FUSION 2012
T2 - 15th International Conference on Information Fusion, FUSION 2012
Y2 - 7 September 2012 through 12 September 2012
ER -