Working with Low-Rank Matrix Sensing part2(Machine Learning)
On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing(arXiv) Author : Anatoli Juditsky, Fatma Kilinc Karzan, Arkadii S. Nemirovski Abstract : We consider the synthesis problem of Compressed Sensing — given s and an MXn matrix A, extract from it an mXn submatrix A’, certified to…
Working with Low-Rank Matrix Sensing part2(Machine Learning) On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing(arXiv) Author : Anatoli Juditsky, Fatma Kilinc Karzan, Arkadii S. Nemirovski Abstract : We consider the synthesis problem of Compressed Sensing — given s and an MXn matrix A, extract from it an mXn submatrix A’, certified to… deep-learning
Working LowRank Matrix Sensing part2Machine Learning Low Rank Matrix Approximations Applications Synthesis Problem Compressed SensingarXiv Author Anatoli Juditsky Fatma Kilinc Karzan Arkadii Nemirovski Abstract consider synthesis problem Compressed Sensing — given MXn matrix extract mXn submatrix A’ certified to… deeplearning