We show how to exploit large and diverse sets of data to generate high-quality images in complex media. Previous imaging methods lose resolution in complex media because they are based mostly on ...

This work is mainly based on the code reproduction of the article “Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group”. Due to my limited level, the method of ...

Demonstration of how to train, evaluate, and plot evaluation results using the dictionary_learning repo. We use dictionary_learning as a git submodule. For ease of development, we use SSH for our git ...

Abstract: In the past decade, many dictionary learning based disaggregation approaches have been proposed. The main shortcoming of dictionary learning is that it is not shift-invariant. This has been ...

Deep Learning, a subset of machine learning, is revolutionizing technology with its ability to process and learn from vast amounts of data. For enthusiasts and professionals alike, YouTube has become ...

Abstract: Seismic denoising is a fundamental and critical task in seismic data processing. Aiming at solving the computational complexity of 3-D seismic data processing, we propose a novel data-driven ...

In a recent study posted to the bioRxiv* preprint server, researchers developed and elucidated a ‘bridge integration’ method to harmonize single-cell ribonucleic acid (RNA) sequencing (scRNA-seq) ...