Spain is about to undertake its largest-ever migrant regularization program, granting legal status and work permits to ...
Abstract: When adopting a model-based formulation, solving inverse problems encountered in multiband imaging requires to define spatial and spectral regularizations. In most of the works of the ...
Obtaining high-quality 3D reconstructions from electron tomography of crystalline particles embedded in lighter support elements is crucial for various material systems such as catalysts for fuel cell ...
Deep learning project comparing CNN and MobileNetV2 for image classification on a small, imbalanced dataset. Covers preprocessing, augmentation, training, evaluation, and performance analysis. Tools: ...
According to Yann LeCun, a new paper details the development of a JEPA model for planning in latent space using Variance-Covariance regularization, which can enhance predictive accuracy in machine ...
Low-dose CT imaging is designed to reduce the radiation dose to the patient by reducing the intensity of the X-rays to obtain CT images [1]. However, this dose reduction can significantly increase the ...
This repository contains experiments on data visualization, cleaning, preprocessing, and machine learning techniques. It covers topics like prediction models, reinforcement learning, SVM, and data ...
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