This conceptual guide gives a brief overview of OFT and BOFT, a parameter-efficient fine-tuning technique that utilizes orthogonal matrix to multiplicatively transform the pretrained weight matrices.

A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2024.230180, discusses orthogonal matrix of polarization combinations: concept and application to multichannel holographic recording.

Abstract: Nonnegative matrix factorization (NMF) is a widely-used method for multivariate analysis of nonnegative data, the goal of which is decompose a data matrix into a basis matrix and an encoding ...

This paper presents a method for generating pseudo-random orthogonal matrices from the Haar distribution for the group of orthogonal matrices. The random matrices are expressed as products of n - 1 ...

The Hermitian Lanczos method for Hermitian matrices has a well-known connection with a 3-term recurrence for polynomials orthogonal on a discrete subset of ℝ. This connection disappears for normal ...

This repository contains the Python implementation of SO-NMF, as described in the paper: “Synergistic Functional Spectrum Analysis: A Framework for Exploring the Multifunctional Interplay Among ...

Abstract: Aiming at the recognition problems such as facial changes and uneven grayscale caused by expression and illumination changes in image recognition, a two dimensional Locality Preserving ...