Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization.
Chunwei MaZiyun HuangJiayi XianMingchen GaoJinhui XuPublished in: CoRR (2021)
Keyphrases
- neural network
- optimization problems
- global optimization
- robust optimization
- highly non linear
- camera calibration
- nonlinear optimization
- pattern recognition
- optimization algorithm
- optimization process
- fault diagnosis
- artificial neural networks
- uncertain data
- data mining
- camera parameters
- optimization methods
- neural network model
- computer vision
- back propagation
- fuzzy logic
- knowledge discovery
- conditional probabilities
- pattern discovery
- structure from motion
- decision making
- geometric constraints
- constrained optimization
- discovery process
- possibility theory
- genetic algorithm