Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
IEEE

Self-supervised Learning with Spectral Low-Rank Prior for Hyperspectral Image Reconstruction

Abstract: Hyperspectral image (HSI) reconstruction from coded measurement is significant for acquiring images with higher spectral resolution than traditional RGB images. Current advanced neural ...
IEEE

PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse

Abstract: Self-supervised learning (SSL) is a data-driven learning approach that utilizes the innate structure of the data to guide the learning process. In contrast to supervised learning, which ...
Microsoft

KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning

Recent breakthroughs in self-supervised Joint-Embedding Predictive Architectures (JEPAs) have established that regularizing Euclidean representations toward isotropic Gaussian priors yields provable ...