2 papers
cs.CV2023
Graph Laplacian for Semi-Supervised Learning
Or Streicher, Guy Gilboa
Semi-supervised learning is highly useful in common scenarios where labeled data is scarce but unlabeled data is abundant. The graph (or nonlocal) Laplacian is a fundamental smooth…
cs.CV2022
BASiS: Batch Aligned Spectral Embedding Space
Or Streicher, Ido Cohen, Guy Gilboa
Graph is a highly generic and diverse representation, suitable for almost any data processing problem. Spectral graph theory has been shown to provide powerful algorithms, backed b…