Hayden Schaeffer
About
Hayden Schaeffer has authored 36 papers that have received a total of 928 indexed citations.
This includes 21 papers in Computational Mechanics, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. The topics of these papers are Sparse and Compressive Sensing Techniques (14 papers), Model Reduction and Neural Networks (10 papers) and Image and Signal Denoising Methods (9 papers). Hayden Schaeffer is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Model Reduction and Neural Networks (10 papers) and Image and Signal Denoising Methods (9 papers) and collaborates with scholars based in United States, Canada and Hong Kong. Hayden Schaeffer's co-authors include Giang Tran, Stanley Osher, Rachel Ward, Linan Zhang and Luminita A. Vese and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering
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