Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zahir, Alaeddine"'
In this paper, we propose a new approaches for low rank approximation of quaternion tensors \cite{chen2019low,zhang1997quaternions,hamilton1866elements}. The first method uses quasi-norms to approximate the tensor by a low-rank tensor using the QT-pr
Externí odkaz:
http://arxiv.org/abs/2409.10724
This paper explores the extension of dimension reduction (DR) techniques to the multi-dimension case by using the Einstein product. Our focus lies on graph-based methods, encompassing both linear and nonlinear approaches, within both supervised and u
Externí odkaz:
http://arxiv.org/abs/2403.18171
This study introduces a novel technique for multi-view clustering known as the "Consensus Graph-Based Multi-View Clustering Method Using Low-Rank Non-Convex Norm" (CGMVC-NC). Multi-view clustering is a challenging task in machine learning as it requi
Externí odkaz:
http://arxiv.org/abs/2312.11157
Multi-view clustering has been widely used in recent years in comparison to single-view clustering, for clear reasons, as it offers more insights into the data, which has brought with it some challenges, such as how to combine these views or features
Externí odkaz:
http://arxiv.org/abs/2303.08582
Publikováno v:
In Applied Numerical Mathematics November 2023
