Many current microscopy methods increasingly rely on computation as an integral part of the imaging process. This model-based approach to optics—integrating optical system design with algorithmic ...

This creates a hidden optimization challenge: parameters associated with common tokens receive constant gradient updates, while parameters tied to rare tokens may go hundreds […] The post Stochastic ...

This repository provides an implement of Data-driven subsampling based stochastic Gradient Descent (DGD). DGD has the following three steps. Encode figures by ViT model and get the features. Get the ...

Explore facial recognition through an advanced Python implementation featuring Linear Discriminant Analysis (LDA). This repository provides a comprehensive resource, including algorithmic steps, ...