Matrix-based Rank Adaptation (MoRA) is a technique used in information retrieval (IR) to improve the ranking of search results by incorporating term-term similarity information. It aims to enhance the ...

This study investigates the effectiveness of quantum-inspired optimizations in handling high-rank matrix operations, addressing known limitations of traditional algorithms. We present a comparative ...

Matrix-covariate is now frequently encountered in many biomedical researches. It is common to fit conventional statistical models by vectorizing matrix-covariate. This strategy results in a large ...

This is a preview. Log in through your library . Abstract In this paper we consider estimating the rank of an unknown symmetric matrix based on a symmetric, asymptotically normal estimator of the ...

Abstract: Low-rank matrix decomposition is effective for sparse recovery. However, the conventions are limited in accuracy for high-resolution synthetic aperture radar (SAR) imagery due to the ...

Abstract: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ...