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Algorithms for nonnegative matrix factorization with the beta-divergence
v1v2v3 (latest)

Algorithms for nonnegative matrix factorization with the beta-divergence

8 October 2010
Cédric Févotte
Jérôme Idier
ArXiv (abs)PDFHTML

Papers citing "Algorithms for nonnegative matrix factorization with the beta-divergence"

50 / 132 papers shown
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Deep Model Interpretation with Limited Data : A Coreset-based Approach
Deep Model Interpretation with Limited Data : A Coreset-based Approach
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José Oramas
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01 Oct 2024
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and
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Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
Melkamu Mersha
Mesay Gemeda yigezu
Jugal Kalita
91
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30 Sep 2024
Investigating the Impact of Text Summarization on Topic Modeling
Investigating the Impact of Text Summarization on Topic Modeling
Trishia Khandelwal
36
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28 Sep 2024
Machine Learning and Constraint Programming for Efficient Healthcare
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Machine Learning and Constraint Programming for Efficient Healthcare Scheduling
Aymen Ben Said
Malek Mouhoub
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11 Sep 2024
Open-world Multi-label Text Classification with Extremely Weak
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Open-world Multi-label Text Classification with Extremely Weak Supervision
Xintong Li
Jinya Jiang
Ria Dharmani
Jayanth Srinivasa
Gaowen Liu
Jingbo Shang
VLM
74
2
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08 Jul 2024
Unsupervised learning of Data-driven Facial Expression Coding System
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Unsupervised learning of Data-driven Facial Expression Coding System (DFECS) using keypoint tracking
S. Tripathi
Rahul Garg
34
0
0
08 Jun 2024
On the Connection Between Non-negative Matrix Factorization and Latent
  Dirichlet Allocation
On the Connection Between Non-negative Matrix Factorization and Latent Dirichlet Allocation
Benedikt Geiger
Peter J. Park
51
1
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30 May 2024
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey
Farid Saberi-Movahed
Kamal Berahmand
Razieh Sheikhpour
Yuefeng Li
Shirui Pan
69
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06 May 2024
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models
Jeremy E. Cohen
Valentin Leplat
130
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27 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai
Sai Wu
Mingli Song
Junbo Zhao
Gang Chen
117
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11 Mar 2024
An embedding-based distance for temporal graphs
An embedding-based distance for temporal graphs
Lorenzo DallÁmico
Alain Barrat
C. Cattuto
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Block Majorization Minimization with Extrapolation and Application to $β$-NMF
Block Majorization Minimization with Extrapolation and Application to βββ-NMF
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Valentin Leplat
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German Text Embedding Clustering Benchmark
German Text Embedding Clustering Benchmark
Silvan Wehrli
Bert Arnrich
Christopher Irrgang
57
7
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05 Jan 2024
Wasserstein Nonnegative Tensor Factorization with Manifold
  Regularization
Wasserstein Nonnegative Tensor Factorization with Manifold Regularization
Jianyu Wang
Linruize Tang
24
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03 Jan 2024
Multichannel blind speech source separation with a disjoint constraint
  source model
Multichannel blind speech source separation with a disjoint constraint source model
Jianyu Wang
Shanzheng Guan
43
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03 Jan 2024
Prompting Large Language Models for Topic Modeling
Prompting Large Language Models for Topic Modeling
Han Wang
Nirmalendu Prakash
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Roy Ka-wei Lee
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PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using
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PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models
Nirmalendu Prakash
Han Wang
N. Hoang
Ming Shan Hee
Roy Ka-wei Lee
62
12
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Understanding Opinions Towards Climate Change on Social Media
Understanding Opinions Towards Climate Change on Social Media
Yashaswi Pupneja
Joseph Zou
Sacha Lévy
Shenyang Huang
61
3
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02 Dec 2023
Nonnegative/Binary Matrix Factorization for Image Classification using
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Nonnegative/Binary Matrix Factorization for Image Classification using Quantum Annealing
Hinako Asaoka
Kazue Kudo
61
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Deep Nonnegative Matrix Factorization with Beta Divergences
Deep Nonnegative Matrix Factorization with Beta Divergences
Valentin Leplat
L. Hien
Akwum Onwunta
Nicolas Gillis
62
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15 Sep 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement
Integrating Uncertainty into Neural Network-based Speech Enhancement
Hu Fang
Dennis Becker
S. Wermter
Timo Gerkmann
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67
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A Second-Order Majorant Algorithm for Nonnegative Matrix Factorization
A Second-Order Majorant Algorithm for Nonnegative Matrix Factorization
M. Pham
Jérémy E. Cohen
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62
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CRAFT: Concept Recursive Activation FacTorization for Explainability
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Agustin Picard
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Thomas Serre
103
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NRBdMF: A recommendation algorithm for predicting drug effects
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NRBdMF: A recommendation algorithm for predicting drug effects considering directionality
Iori Azuma
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Majorization-minimization for Sparse Nonnegative Matrix Factorization
  with the $β$-divergence
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the βββ-divergence
Arthur Marmin
J. H. D. M. Goulart
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60
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BERTopic: Neural topic modeling with a class-based TF-IDF procedure
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A survey of unsupervised learning methods for high-dimensional
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Katiana Kontolati
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Michael D. Shields
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Leveraging Joint-Diagonalization in Transform-Learning NMF
Leveraging Joint-Diagonalization in Transform-Learning NMF
Sixin Zhang
Emmanuel Soubies
Cédric Févotte
50
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0
10 Dec 2021
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic
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Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models
Mattias Luber
Anton Thielmann
Christoph Weisser
Benjamin Säfken
21
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Characterization of Frequent Online Shoppers using Statistical Learning
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Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity
R. Sambasivan
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Jörg Schad
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Christopher Woodward
Alexander Geenen
Sachin Sharma
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Nonnegative Tucker Decomposition with Beta-divergence for Music
  Structure Analysis of Audio Signals
Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals
Axel Marmoret
Florian Voorwinden
Valentin Leplat
Jérémy E. Cohen
Frédéric Bimbot
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Deep Variational Models for Collaborative Filtering-based Recommender
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Jesús Bobadilla
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Ángel González-Prieto
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Multi-Channel Automatic Music Transcription Using Tensor Algebra
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Cohen Jeremy
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Denoising User-aware Memory Network for Recommendation
Denoising User-aware Memory Network for Recommendation
Zhiwei. Bian
Shaojun Zhou
Hao Xu
Qihong Yang
Zhenqi Sun
Junjie Tang
Guiquan Liu
Kaikui Liu
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Blind Source Separation in Polyphonic Music Recordings Using Deep Neural
  Networks Trained via Policy Gradients
Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients
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E. King
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Probabilistic semi-nonnegative matrix factorization: a Skellam-based
  framework
Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
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Joint Majorization-Minimization for Nonnegative Matrix Factorization
  with the $β$-divergence
Joint Majorization-Minimization for Nonnegative Matrix Factorization with the βββ-divergence
Arthur Marmin
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86
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Unsupervised Speech Enhancement using Dynamical Variational
  Auto-Encoders
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
Xiaoyu Bie
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Robust Regression via Model Based Methods
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Unbalanced Optimal Transport through Non-negative Penalized Linear
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Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
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Haoran Wu
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Non-negative matrix factorization algorithms generally improve topic model fits
Non-negative matrix factorization algorithms generally improve topic model fits
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Empirical Evaluation of Pre-trained Transformers for Human-Level NLP:
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Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
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Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under
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Mingyi Hong
126
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Adversarially-Trained Nonnegative Matrix Factorization
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Vincent Y. F. Tan
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Entropy Minimizing Matrix Factorization
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Expanding boundaries of Gap Safe screening
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Deep Autoencoder-based Fuzzy C-Means for Topic Detection
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Natasha Rosaline
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27
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A Joint Diagonalization Based Efficient Approach to Underdetermined
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A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter
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Rintaro Ikeshita
H. Sawada
Tomohiro Nakatani
35
26
0
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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
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0
16 Jan 2021
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