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Bayesian object recognition with Baddeley’s delta loss
Håvard Rue
, Anne Randi Syversveen
Research output
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peer-review
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Keyphrases
Object Recognition
100%
Loss Function
100%
Marked Point Process
66%
Point Process Model
66%
Bayesian Estimation
33%
Maximum a Posteriori Estimation
33%
Markov Chain Monte Carlo Methods
33%
Decision Theory
33%
Square Metric
33%
Point Estimate
33%
Confocal Microscopy Images
33%
Two-step Algorithm
33%
Object Configuration
33%
Simulated Annealing
33%
Use Decisions
33%
Computer Science
Object Recognition
100%
Process Model
100%
Configuration Object
50%
markov chain monte-carlo
50%
Decision Theory
50%
Point Estimate
50%
Simulated Annealing
50%
Engineering
Object Recognition
100%
Loss Function
100%
Point Process
66%
Maximum a Posteriori
33%
Point Estimate
33%
Demonstrates
33%
Metrics
33%
Confocal Microscopy
33%
Mathematics
Bayesian
100%
Loss Function
100%
Marked Point Process
66%
Posteriori
33%
Markov Chain Monte Carlo Method
33%
Number
33%
Decision Theory
33%
Point Estimate
33%