Information-Theoretic

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Information-Theoretic ImagingJ. A. O’Sullivan. CMU Seminar, 03/13/2002Algorithm DevelopmentIterative Algorithms:Random Search:Alternating MinimizationsExpectation-MaximizationSimulated Annealing,Diffusion, Jump-DiffusionPerformance QuantificationDiscrepancy Measures:Performance:Performance Bounds:Squared Error,DiscriminationBias, Variance,Mean DiscriminationCramer-RaoRao,Hilbert-Schmidt40
Information-Theoretic ImagingJ. A. O’Sullivan. CMU Seminar, 03/13/2002Target Classification ProblemTargetClassifierâ=T72Given a SAR image r,determine a correspondingtarget class âATarget Orientation Estimationa=T72OrientationEstimator=135Given a SAR image r anda target class âA,estimate target orientationLikelihood Model Approach:p R|,a (r|,a) - Conditional Data Modelp ,a (,a) - Prior on orientation (known or simply uniform)P(a) - Prior on target class (known or simply uniform)41
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Information-Theoretic

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