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Robust Volume Minimization-Based Matrix Factorization for Remote Sensing
  and Document Clustering

Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering

15 August 2016
Xiao Fu
Kejun Huang
Bo Yang
Wing-Kin Ma
N. Sidiropoulos
ArXiv (abs)PDFHTML

Papers citing "Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering"

42 / 42 papers shown
Title
Identifiability of Nonnegative Tucker Decompositions -- Part I: Theory
Identifiability of Nonnegative Tucker Decompositions -- Part I: Theory
Subhayan Saha
Giovanni Barbarino
Nicolas Gillis
50
0
0
19 May 2025
A Survey on Archetypal Analysis
A Survey on Archetypal Analysis
Aleix Alcacer
Irene Epifanio
Sebastian Mair
Morten Mørup
57
0
0
16 Apr 2025
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
Subash Timilsina
Sagar Shrestha
Xiao Fu
74
1
0
28 Sep 2024
Hyperspectral Unmixing Under Endmember Variability: A Variational
  Inference Framework
Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework
Yuening Li
Xiao Fu
Junbin Liu
Wing-Kin Ma
35
0
0
20 Jul 2024
Checking the Sufficiently Scattered Condition using a Global Non-Convex
  Optimization Software
Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software
Nicolas Gillis
Robert Luce
74
1
0
08 Feb 2024
Correlative Information Maximization: A Biologically Plausible Approach
  to Supervised Deep Neural Networks without Weight Symmetry
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt
Cengiz Pehlevan
A. Erdogan
67
1
0
07 Jun 2023
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric
  Regularization Approach
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
Tri Nguyen
Shahana Ibrahim
Xiao Fu
52
6
0
30 May 2023
A Bayesian Perspective for Determinant Minimization Based Robust
  Structured Matrix Factorizatio
A Bayesian Perspective for Determinant Minimization Based Robust Structured Matrix Factorizatio
Gokcan Tatli
A. Erdogan
76
0
0
16 Feb 2023
Provable Subspace Identification Under Post-Nonlinear Mixtures
Provable Subspace Identification Under Post-Nonlinear Mixtures
Qi Lyu
Xiao Fu
CoGe
65
0
0
14 Oct 2022
Correlative Information Maximization Based Biologically Plausible Neural
  Networks for Correlated Source Separation
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
Bariscan Bozkurt
Ates Isfendiyaroglu
Cengiz Pehlevan
A. Erdogan
55
1
0
09 Oct 2022
Self-Supervised Learning with an Information Maximization Criterion
Self-Supervised Learning with an Information Maximization Criterion
Serdar Ozsoy
Shadi S. Hamdan
Sercan O. Arik
Deniz Yuret
A. Erdogan
SSL
64
39
0
16 Sep 2022
A consistent and flexible framework for deep matrix factorizations
A consistent and flexible framework for deep matrix factorizations
Pierre De Handschutter
Nicolas Gillis
24
15
0
21 Jun 2022
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral
  Unmixing
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing
Meng Ding
Xiao Fu
Xile Zhao
68
11
0
08 May 2022
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
Xiaoqing Guo
Jie Liu
Tongliang Liu
Yiyuan Yuan
95
27
0
29 Mar 2022
Polytopic Matrix Factorization: Determinant Maximization Based Criterion
  and Identifiability
Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability
Gokcan Tatli
A. Erdogan
87
16
0
19 Feb 2022
Communication-Efficient Federated Linear and Deep Generalized Canonical
  Correlation Analysis
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis
Sagar Shrestha
Xiao Fu
FedML
42
0
0
25 Sep 2021
Memory-Efficient Convex Optimization for Self-Dictionary Separable
  Nonnegative Matrix Factorization: A Frank-Wolfe Approach
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach
Tri Nguyen
Xiao Fu
Ruiyuan Wu
66
11
0
23 Sep 2021
Co-Separable Nonnegative Matrix Factorization
Co-Separable Nonnegative Matrix Factorization
Junjun Pan
Michael K. Ng
63
1
0
02 Sep 2021
Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture
  Learning via Autoencoder
Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder
Qi Lyu
Xiao Fu
CML
64
12
0
16 Jun 2021
Crowdsourcing via Annotator Co-occurrence Imputation and Provable
  Symmetric Nonnegative Matrix Factorization
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Shahana Ibrahim
Xiao Fu
55
9
0
14 Jun 2021
Probabilistic Simplex Component Analysis
Probabilistic Simplex Component Analysis
Ruiyuan Wu
Wing-Kin Ma
Yuening Li
Anthony Man-Cho So
N. Sidiropoulos
74
12
0
18 Mar 2021
Provably End-to-end Label-Noise Learning without Anchor Points
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
212
123
0
04 Feb 2021
Minimum-volume Multichannel Nonnegative matrix factorization for blind
  source separation
Minimum-volume Multichannel Nonnegative matrix factorization for blind source separation
Jianyu Wang
Shanzheng Guan
Shupei Liu
Xiao-Lei Zhang
38
3
0
16 Jan 2021
Mixed Membership Graph Clustering via Systematic Edge Query
Mixed Membership Graph Clustering via Systematic Edge Query
Shahana Ibrahim
Xiao Fu
47
4
0
25 Nov 2020
Extracting Optimal Solution Manifolds using Constrained Neural
  Optimization
Extracting Optimal Solution Manifolds using Constrained Neural Optimization
Gurpreet Singh
Soumyajit Gupta
Matthew Lease
33
0
0
13 Sep 2020
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability
  and Provably Correct Algorithms
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms
Maryam Abdolali
Nicolas Gillis
71
24
0
22 Jul 2020
Recovering Joint Probability of Discrete Random Variables from Pairwise
  Marginals
Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Shahana Ibrahim
Xiao Fu
141
13
0
30 Jun 2020
Computing Large-Scale Matrix and Tensor Decomposition with Structured
  Factors: A Unified Nonconvex Optimization Perspective
Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective
Xiao Fu
Nico Vervliet
L. De Lathauwer
Kejun Huang
Nicolas Gillis
CML
39
20
0
15 Jun 2020
Tensor train rank minimization with nonlocal self-similarity for tensor
  completion
Tensor train rank minimization with nonlocal self-similarity for tensor completion
Meng Ding
Tingzhu Huang
Xile Zhao
Michael K. Ng
Tian-Hui Ma
ViT
78
26
0
29 Apr 2020
Near-Convex Archetypal Analysis
Near-Convex Archetypal Analysis
Pierre De Handschutter
Nicolas Gillis
A. Vandaele
Xavier Siebert
33
8
0
02 Oct 2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and
  Algorithms
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
Shahana Ibrahim
Xiao Fu
Nikos Kargas
Kejun Huang
FedML
42
33
0
26 Sep 2019
Nonlinear Multiview Analysis: Identifiability and Neural
  Network-assisted Implementation
Nonlinear Multiview Analysis: Identifiability and Neural Network-assisted Implementation
Qi Lyu
Xiao Fu
24
0
0
19 Sep 2019
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF
Valentin Leplat
Nicolas Gillis
A. Ang
61
54
0
04 Jul 2019
Generalized Separable Nonnegative Matrix Factorization
Generalized Separable Nonnegative Matrix Factorization
Junjun Pan
Nicolas Gillis
73
27
0
30 May 2019
Learning Nonlinear Mixtures: Identifiability and Algorithm
Learning Nonlinear Mixtures: Identifiability and Algorithm
Bo Yang
Xiao Fu
N. Sidiropoulos
Kejun Huang
CML
60
11
0
06 Jan 2019
Accelerating Nonnegative Matrix Factorization Algorithms using
  Extrapolation
Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation
A. Ang
Nicolas Gillis
66
45
0
17 May 2018
Nonnegative Matrix Factorization for Signal and Data Analytics:
  Identifiability, Algorithms, and Applications
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Xiao Fu
Kejun Huang
N. Sidiropoulos
Wing-Kin Ma
79
204
0
03 Mar 2018
Tight Semi-Nonnegative Matrix Factorization
Tight Semi-Nonnegative Matrix Factorization
David W. Dreisigmeyer
19
4
0
13 Sep 2017
On Identifiability of Nonnegative Matrix Factorization
On Identifiability of Nonnegative Matrix Factorization
Xiao Fu
Kejun Huang
N. Sidiropoulos
85
95
0
02 Sep 2017
Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix
  Factorization Framework via Facet Enumeration and Convex Optimization
Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization
Chia-Hsiang Lin
Ruiyuan Wu
Wing-Kin Ma
Chong-Yung Chi
Yijiao Wang
100
50
0
09 Aug 2017
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian
  Prior Models
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models
Linxiao Yang
Jun Fang
Huiping Duan
Hongbin Li
B. Zeng
60
54
0
08 Aug 2017
Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering
Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
56
40
0
21 May 2016
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