News-Medical.Net

Machine learning boosts medicine access in resource-limited healthcare settings

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
IEEE

Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion

Abstract: Recently, sparse representation has attracted a lot of interest in various areas. However, the standard sparse representation does not consider the intrinsic structure, i.e., the nonzero ...
Scientific Research Publishing

Leaning Sparse Nonlinear Dynamical Systems via Frank-Wolfe Algorithm with Integral Strategy ()

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
GitHub

Online Sparse Dictionary Learning Algorithm

This is the Matlab Package for the Online Sparse Dictionary Learning (OSDL) algorithm, presented in: J. Sulam, B. Ophir, M. Zibulevsky and M. Elad, "Trainlets: Dictionary Learning in High Dimensions," ...
GitHub

Llama 3 Interpretability with Sparse Autoencoders

Modern LLMs encode concepts by superimposing multiple features into the same neurons and then interpeting them by taking into account the linear superposition of all neurons in a layer. This concept ...
IEEE

Fast Convolutional Sparse Dictionary Learning Based on LocOMP and Its Application to Bearing Fault Detection

Abstract: Sparse representations based on convolutional sparse dictionary learning (CSDL) provide an excellent framework for extracting fault impulse response caused by bearing faults. In order to ...