Scalable signal reconstruction for a broad range of applications
Signal reconstruction problem (SRP) is an important optimization problem where the
objective is to identify a solution to an underdetermined system of linear equations that is …
objective is to identify a solution to an underdetermined system of linear equations that is …
[PDF][PDF] Orca-sr: A real-time traffic engineering framework leveraging similarity joins
Reconstructing a high dimensional unknown signal, using lower dimensional observations
is a challenging problem, known as signal reconstruction problem (SRP), with diverse …
is a challenging problem, known as signal reconstruction problem (SRP), with diverse …
Multi-scale residual reconstruction algorithm based on compressed sensing image
N Mao, Y Liu, X Liu, M Chen - 2021 4th World Conference on …, 2021 - ieeexplore.ieee.org
Existing compressed sensing image reconstruction algorithms based on deep learning have
the problems of poor reconstructed image quality and blurred local areas. A multi-scale …
the problems of poor reconstructed image quality and blurred local areas. A multi-scale …
[图书][B] Generalized Algorithmic Frameworks for Optimizing Distance Calls in Generalized Metric Space Proximity Problems and Methods for Realizing Efficient Signal …
J Augustine - 2020 - search.proquest.com
The exponential rise in data, along with its heterogeneity and complexity, helped individuals,
businesses, hospitals, enterprises and even governments to thrive on data-driven decision …
businesses, hospitals, enterprises and even governments to thrive on data-driven decision …