Asymmetric Semi-Nonnegative Matrix Factorization for Directed Graph Clustering

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) ◽

10.1109/iccke50421.2020.9303649 ◽

2020 ◽

Author(s):

Reyhaneh Abdollahi ◽

Seyed Amjad Seyedi ◽

Mohamad Reza Noorimehr

Keyword(s):

Directed Graph ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Graph Clustering

Download Full-text

Symmetric Nonnegative Matrix Factorization for Graph Clustering

Proceedings of the 2012 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972825.10 ◽

2012 ◽

Author(s):

Da Kuang ◽

Chris Ding ◽

Haesun Park

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Graph Clustering ◽

Symmetric Nonnegative Matrix Factorization

Download Full-text

Nonnegative Matrix Factorization and Document Classification

10.15368/theses.2015.110 ◽

2015 ◽

Author(s):

Stephen Calabrese

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Document Classification

Download Full-text

Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287456 ◽

2021 ◽

Author(s):

Timothy Marrinan ◽

Nicolas Gillis

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Hyperspectral Unmixing

Download Full-text

Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287756 ◽

2021 ◽

Author(s):

Xiulin Wang ◽

Wenya Liu ◽

Fengyu Cong ◽

Tapani Ristaniemi

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Sparse Regularization

Download Full-text

A new method on class-of-interest oriented spectral unmixing based on nonnegative matrix factorization

Remote Sensing and Smart City ◽

10.2495/rssc140401 ◽

2014 ◽

Author(s):

L.G. Wang ◽

Z.J. Zhao ◽

S.Y. Hao

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Spectral Unmixing ◽

Download Full-text

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering

International Journal of Computational Intelligence Systems ◽

10.2991/ijcis.d.200527.003 ◽

2020 ◽

Author(s):

Xiangguang Dai ◽

Nian Zhang ◽

Keke Zhang ◽

Jiang Xiong

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Image Inpainting

Download Full-text

Local Sparsity Based Online Dictionary Learning for Environment-Adaptive Speech Enhancement with Nonnegative Matrix Factorization

10.21437/interspeech.2016-586 ◽

2016 ◽

Author(s):

Kwang Myung Jeon ◽

Hong Kook Kim

Keyword(s):

Speech Enhancement ◽

Dictionary Learning ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Online Dictionary Learning

Download Full-text

Nonnegative Matrix Factorization: An Analytical and Interpretive Tool in Computational Biology

PLoS Computational Biology ◽

10.1371/journal.pcbi.1000029 ◽

2008 ◽

Vol 4 (7) ◽

pp. e1000029 ◽

Author(s):

Karthik Devarajan

Keyword(s):

Computational Biology ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix

Download Full-text

Sparse Dual Graph-Regularized Deep Nonnegative Matrix Factorization for Image Clustering

IEEE Access ◽

10.1109/access.2021.3064631 ◽

2021 ◽

Vol 9 ◽

pp. 39926-39938

Author(s):

Weiyu Guo

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Image Clustering

Download Full-text

Similarity and Dissimilarity Regularized Nonnegative Matrix Factorization for Single-Cell RNA-seq Analysis

Interdisciplinary Sciences Computational Life Sciences ◽

10.1007/s12539-021-00457-0 ◽

2021 ◽

Author(s):

Ya-Li Zhu ◽

Sha-Sha Yuan ◽

Jin-Xing Liu

Keyword(s):

Single Cell ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Download Full-text