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1608.04290
Cited By
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
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Papers citing
"Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering"
42 / 42 papers shown
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Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
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Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework
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Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software
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Robert Luce
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Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
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Cengiz Pehlevan
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Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
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A Bayesian Perspective for Determinant Minimization Based Robust Structured Matrix Factorizatio
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A. Erdogan
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Provable Subspace Identification Under Post-Nonlinear Mixtures
Qi Lyu
Xiao Fu
CoGe
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14 Oct 2022
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
Bariscan Bozkurt
Ates Isfendiyaroglu
Cengiz Pehlevan
A. Erdogan
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09 Oct 2022
Self-Supervised Learning with an Information Maximization Criterion
Serdar Ozsoy
Shadi S. Hamdan
Sercan O. Arik
Deniz Yuret
A. Erdogan
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A consistent and flexible framework for deep matrix factorizations
Pierre De Handschutter
Nicolas Gillis
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21 Jun 2022
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing
Meng Ding
Xiao Fu
Xile Zhao
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SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
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Jie Liu
Tongliang Liu
Yiyuan Yuan
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Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability
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A. Erdogan
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Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis
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25 Sep 2021
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach
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Xiao Fu
Ruiyuan Wu
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Co-Separable Nonnegative Matrix Factorization
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Michael K. Ng
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Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder
Qi Lyu
Xiao Fu
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16 Jun 2021
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Shahana Ibrahim
Xiao Fu
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Probabilistic Simplex Component Analysis
Ruiyuan Wu
Wing-Kin Ma
Yuening Li
Anthony Man-Cho So
N. Sidiropoulos
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18 Mar 2021
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
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Minimum-volume Multichannel Nonnegative matrix factorization for blind source separation
Jianyu Wang
Shanzheng Guan
Shupei Liu
Xiao-Lei Zhang
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Mixed Membership Graph Clustering via Systematic Edge Query
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Xiao Fu
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Extracting Optimal Solution Manifolds using Constrained Neural Optimization
Gurpreet Singh
Soumyajit Gupta
Matthew Lease
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Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms
Maryam Abdolali
Nicolas Gillis
69
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Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
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Xiao Fu
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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
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Tensor train rank minimization with nonlocal self-similarity for tensor completion
Meng Ding
Tingzhu Huang
Xile Zhao
Michael K. Ng
Tian-Hui Ma
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29 Apr 2020
Near-Convex Archetypal Analysis
Pierre De Handschutter
Nicolas Gillis
A. Vandaele
Xavier Siebert
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02 Oct 2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
Shahana Ibrahim
Xiao Fu
Nikos Kargas
Kejun Huang
FedML
42
33
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26 Sep 2019
Nonlinear Multiview Analysis: Identifiability and Neural Network-assisted Implementation
Qi Lyu
Xiao Fu
22
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19 Sep 2019
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF
Valentin Leplat
Nicolas Gillis
A. Ang
61
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04 Jul 2019
Generalized Separable Nonnegative Matrix Factorization
Junjun Pan
Nicolas Gillis
71
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30 May 2019
Learning Nonlinear Mixtures: Identifiability and Algorithm
Bo Yang
Xiao Fu
N. Sidiropoulos
Kejun Huang
CML
60
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06 Jan 2019
Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation
A. Ang
Nicolas Gillis
66
45
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17 May 2018
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Xiao Fu
Kejun Huang
N. Sidiropoulos
Wing-Kin Ma
73
204
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03 Mar 2018
Tight Semi-Nonnegative Matrix Factorization
David W. Dreisigmeyer
19
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13 Sep 2017
On Identifiability of Nonnegative Matrix Factorization
Xiao Fu
Kejun Huang
N. Sidiropoulos
85
95
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02 Sep 2017
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
Linxiao Yang
Jun Fang
Huiping Duan
Hongbin Li
B. Zeng
60
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08 Aug 2017
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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