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Bi-Objective Nonnegative Matrix Factorization: Linear Versus
  Kernel-Based Models

Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models

22 January 2015
P. Honeine
Fei Zhu
ArXivPDFHTML

Papers citing "Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models"

4 / 4 papers shown
Title
DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing
ChenTong Wang
Jincheng Gao
Fei Zhu
Abderrahim Halimi
Cédric Richard
42
0
0
05 Mar 2025
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A
  Comprehensive Review
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review
Xin-Ru Feng
Hengchao Li
Rui Wang
Q. Du
Wenxuan Wang
Antonio J. Plaza
27
65
0
20 May 2022
Distributionally Robust and Multi-Objective Nonnegative Matrix
  Factorization
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization
Nicolas Gillis
L. Hien
Valentin Leplat
Vincent Y. F. Tan
OOD
14
12
0
30 Jan 2019
Entropy of Overcomplete Kernel Dictionaries
Entropy of Overcomplete Kernel Dictionaries
P. Honeine
18
4
0
01 Nov 2014
1