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Biostatistics (Oxford, England)
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June 12, 2010
An invitation to reproducible computational research
David L Donoho
Proceedings of the National Academy of Sciences of the United States of America
|
April 1, 2006
Hessian eigenmaps: locally linear embedding techniques for high-dimensional data
David L Donoho, Carrie Grimes
Proceedings of the National Academy of Sciences of the United States of America
|
June 24, 2005
Neighborliness of randomly projected simplices in high dimensions
David L Donoho, Jared Tanner
Proceedings of the National Academy of Sciences of the United States of America
|
June 25, 2005
Sparse nonnegative solution of underdetermined linear equations by linear programming
David L Donoho, Jared Tanner
Proceedings of the National Academy of Sciences of the United States of America
|
April 1, 2006
Optimally sparse representation in general (nonorthogonal) dictionaries via l minimization
David L Donoho, Michael Elad
Proceedings of the National Academy of Sciences of the United States of America
|
October 28, 2009
Message-passing algorithms for compressed sensing
David L Donoho, Arian Maleki, Andrea Montanari
Proceedings of the National Academy of Sciences of the United States of America
|
May 8, 2013
The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising
David L Donoho, Matan Gavish, Andrea Montanari
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
October 22, 2005
Image decomposition via the combination of sparse representations and a variational approach
Jean-Luc Starck, Michael Elad, David L Donoho
Annals of Statistics
|
September 28, 2018
Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model
David L Donoho, Matan Gavish, Iain M Johnstone
Proceedings of the National Academy of Sciences of the United States of America
|
September 22, 2020
Prevalence of neural collapse during the terminal phase of deep learning training
Vardan Papyan, X Y Han, David L Donoho
Page
of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Biostatistics (Oxford, England)
|
June 12, 2010
An invitation to reproducible computational research
David L Donoho
Proceedings of the National Academy of Sciences of the United States of America
|
April 1, 2006
Hessian eigenmaps: locally linear embedding techniques for high-dimensional data
David L Donoho, Carrie Grimes
Proceedings of the National Academy of Sciences of the United States of America
|
June 24, 2005
Neighborliness of randomly projected simplices in high dimensions
David L Donoho, Jared Tanner
Proceedings of the National Academy of Sciences of the United States of America
|
June 25, 2005
Sparse nonnegative solution of underdetermined linear equations by linear programming
David L Donoho, Jared Tanner
Proceedings of the National Academy of Sciences of the United States of America
|
April 1, 2006
Optimally sparse representation in general (nonorthogonal) dictionaries via l minimization
David L Donoho, Michael Elad
Proceedings of the National Academy of Sciences of the United States of America
|
October 28, 2009
Message-passing algorithms for compressed sensing
David L Donoho, Arian Maleki, Andrea Montanari
Proceedings of the National Academy of Sciences of the United States of America
|
May 8, 2013
The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising
David L Donoho, Matan Gavish, Andrea Montanari
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
October 22, 2005
Image decomposition via the combination of sparse representations and a variational approach
Jean-Luc Starck, Michael Elad, David L Donoho
Annals of Statistics
|
September 28, 2018
Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model
David L Donoho, Matan Gavish, Iain M Johnstone
Proceedings of the National Academy of Sciences of the United States of America
|
September 22, 2020
Prevalence of neural collapse during the terminal phase of deep learning training
Vardan Papyan, X Y Han, David L Donoho
Page
of 2