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Information-theoretic bounds on target recognition performance based on degraded image data
Avinash Jain
,
Pierre Moulin
, Michael I. Miller
, Kannan Ramchandran
Electrical and Computer Engineering
Beckman Institute for Advanced Science and Technology
Statistics
Information Trust Institute
Coordinated Science Lab
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Computer Science
Recognition Performance
100%
Target Recognition
100%
Degraded Image
100%
Performance Bound
33%
System Parameter
33%
Recognition System
33%
Object Recognition
33%
Recognition Problem
33%
Testing Problem
33%
Gaussian Model
33%
Asymptotic Approximation
33%
Multiplicative Noise
33%
Nuisance Parameter
33%
Image Sensor
33%
Gaussian White Noise
33%
Probability
33%
Mathematics
Gaussian Distribution
100%
Image Data
100%
System Parameter
50%
Hypothesis Testing Problem
50%
Nuisance Parameter
50%
Composite Hypothesis
50%
Asymptotic Approximation
50%
Random Noise
50%
Multiplicative Noise
50%
Probability
50%
Keyphrases
Sensor Images
33%