Technical Program

E.1: Detection Theory

Session Type: Lecture
Track: Detection and Estimation
Virtual Session: View on Virtual Platform
Session Chair: Ali Tajer, Rensselaer Polytechnic Institute
 
E.1.1: Optimal Two-Stage Bayesian Sequential Change Diagnosis
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         Xiaochuan Ma; University of California, Davis
         Lifeng Lai; University of California, Davis
         Shuguang Cui; the Chinese University of Hong Kong, Shenzhen
 
E.1.2: Second-Order Asymptotically Optimal Change-point Detection Algorithm with Sampling Control
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         Qunzhi Xu; Georgia Institute of Technology
         Yajun Mei; Georgia Institute of Technology
         George V. Moustakides; University of Patras, Greece
 
E.1.3: Sequential detection and isolation of a correlated pair
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         Anamitra Chaudhuri; University of Illinois, Urbana-Champaign
         Georgios Fellouris; University of Illinois, Urbana-Champaign
 
E.1.4: Multislot and Multistream Quickest Change Detection in Statistically Periodic Processes
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         Taposh Banerjee; University of Texas at San Antonio
         Prudhvi Gurram; CCDC Army Research Lab and Booz Allen Hamilton
         Gene Whipps; CCDC Army Research Lab
 
E.1.5: A Game-Theoretic Approach to Sequential Detection in Adversarial Environments
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         Ruizhi Zhang; University of Nebraska-Lincoln
         Shaofeng Zou; University at Buffalo, the State University of New York
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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