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An Adversarial Learning Based Approach for 2D Unknown View Tomography
Mona Zehni
,
Zhizhen Zhao
Electrical and Computer Engineering
Coordinated Science Lab
Statistics
Mathematics
Carl R. Woese Institute for Genomic Biology
Research output
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peer-review
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Keyphrases
Learning-based
100%
Tomography
100%
Viewing Angle
100%
Adversarial Learning
100%
Angle Distribution
60%
Network Structure
20%
Numerical Experiments
20%
Empirical Distribution Function
20%
Unique Recovery
20%
Reparameterization
20%
Discrete Distribution
20%
Noise Pollution
20%
Random Projection
20%
Generated Data
20%
Min-max Game
20%
Wasserstein Generative Adversarial Network
20%
2D Tomography
20%
Gumbel-Softmax
20%
Gradient Backpropagation
20%
Computer Science
Reparameterization
100%
Viewing Direction
100%
Random Projection
100%
Generative Adversarial Networks
100%
Network Structure
100%
Engineering
Numerical Experiment
100%
Max
100%
Empirical Distribution
100%