When light is insuffient, the image or video quality can suffer from increased noise. To conquer the problem, we used a data-driven dictionary learning method to get an adaptive autoencoder. The ...

Two popular representation learning paradigms are dictionary learning and deep learning. While dictionary learning focuses on learning “basis” and “features” by matrix factorization, deep learning ...

Polarimetric synthetic aperture radar (PolSAR) image classification is a vital application in remote sensing image processing. In general, PolSAR image classification is actually a high-dimensional ...

The model is trained until the loss is minimized and the data is reproduced as closely as possible. Through this process, an autoencoder can learn the important features of the data. While that’s a ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Sai Lomte, Tarun. (2022, March 01). Study explores dictionary learning-based bridge integration ...

The details for the definition of the equations for these metrics are shown in ... Qiu C, Zhao LJ, Su K-J, Tian Q, Shen H, Hong H, Gong P, Shi X, Deng H-W and Zhang C (2022) An autoencoder-based deep ...