Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics
Author:
Affiliation:
1. Worcester Polytechnic Institute,Data Science,Worcester,MA,USA
2. Worcester Polytechnic Institute,Mathematics, Computer Science, and Data Science,Worcester,MA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459775.pdf?arnumber=10459775
Reference19 articles.
1. Problems due to Small Samples and Sparse Data in Conditional Logistic Regression Analysis
2. Interpretation of Inaccurate, Insufficient and Inconsistent Data
3. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
4. Cycles Improve Conditional Generators: Synthesis and Augmentation for Data Mining
5. FiLM: Visual Reasoning with a General Conditioning Layer
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