Results 11 to 20 of about 9,160 (266)

Offline and online coupled tensor factorization with knowledge graph. [PDF]

PLoS ONE
How can we accurately decompose a temporal irregular tensor along while incorporating a related knowledge graph tensor in both offline and online streaming settings? PARAFAC2 decomposition is widely applied to the analysis of irregular tensors consisting
SeungJoo Lee, Yong-Chan Park, U Kang
doaj   +2 more sources

Collaborative filtering based on nonnegative/binary matrix factorization [PDF]

Frontiers in Big Data
Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items.
Yukino Terui, Yuka Inoue, Yohei Hamakawa, Kosuke Tatsumura, Kazue Kudo, Kazue Kudo   +5 more
doaj   +2 more sources

Some properties of various types of matrix factorization [PDF]

ITM Web of Conferences, 2021
Matrix factorizations or matrix decompositions are methods that represent a matrix as a product of two or more matrices. There are various types of matrix factorizations such as LU factorization, Cholesky factorization, singular value decomposition etc ...
Ng Wei Shean, Tan Wei Wen
doaj   +1 more source

An Alternate GPU-Accelerated Algorithm for Very Large Sparse LU Factorization

Mathematics, 2023
The LU factorization of very large sparse matrices requires a significant amount of computing resources, including memory and broadband communication.
Jile Chen, Peimin Zhu
doaj   +1 more source

Factorizations of $k$-nonnegative matrices

Journal of Combinatorics, 2022
A matrix is $k$-nonnegative if all its minors of size $k$ or less are nonnegative. We give a parametrized set of generators and relations for the semigroup of $k$-nonnegative $n\times n$ invertible matrices in two special cases: when $k = n-1$ and when $k = n-2$, restricted to unitriangular matrices.
Chepuri, Sunita, Kulkarni, Neeraja, Suk, Joe, Tang, Ewin   +3 more
openaire   +2 more sources

Radix-2 Self-Recursive Sparse Factorizations of Delay Vandermonde Matrices for Wideband Multi-Beam Antenna Arrays

IEEE Access, 2020
This paper presents a self-contained factorization for the Vandermonde matrices associated with true-time delay based wideband analog multi-beam beamforming using antenna arrays. The proposed factorization contains sparse and orthogonal matrices.
Sirani M. Perera, Arjuna Madanayake, Renato J. Cintra   +2 more
doaj   +1 more source

Enumeration of weighted paths on a digraph and block hook determinant

Special Matrices, 2021
In this article, we evaluate determinants of “block hook” matrices, which are block matrices consist of hook matrices. In particular, we deduce that the determinant of a block hook matrix factorizes nicely.
Bera Sudip
doaj   +1 more source

Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations

Entropy, 2023
Matrix factorization is a long-established method employed for analyzing and extracting valuable insight recommendations from complex networks containing user ratings.
Srilatha Tokala, Murali Krishna Enduri, T. Jaya Lakshmi, Hemlata Sharma   +3 more
doaj   +1 more source

Robust Probabilistic Matrix Tri-factorization

Jisuanji kexue yu tansuo, 2020
Matrix factorization is a commonly-used data analysis tool in computer vision, machine learning and data mining. In recent years, the probabilistic models of matrix factorization have become the focus of attention.
SHI Jiarong, CHEN Jiaojiao
doaj   +1 more source

Sparse Matrix Based Low-Complexity, Recursive, and Radix-2 Algorithms for Discrete Sine Transforms

IEEE Access, 2021
This paper presents factorizations of each discrete sine transform (DST) matrix of types I, II, III, and IV into a product of sparse, diagonal, bidiagonal, and scaled orthogonal matrices.
Sirani M. Perera, Levi E. Lingsch
doaj   +1 more source