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Automatic Relevance Determination in Nonnegative Matrix Factorization
  with the β-Divergence
v1v2v3 (latest)

Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2011
25 November 2011
Vincent Y. F. Tan
Cédric Févotte
ArXiv (abs)PDFHTML

Papers citing "Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence"

35 / 35 papers shown
Matrix Factorization for Inferring Associations and Missing Links
Matrix Factorization for Inferring Associations and Missing Links
Ryan Barron
Maksim E. Eren
Duc P. Truong
Cynthia Matuszek
James Wendelberger
Mary F. Dorn
Boian S. Alexandrov
325
2
0
06 Mar 2025
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
601
6
0
27 Mar 2024
Catchém all: Classification of Rare, Prominent, and Novel Malware
  Families
Catchém all: Classification of Rare, Prominent, and Novel Malware Families
M. Eren
Ryan Barron
Manish Bhattarai
Selma Wanna
N. Solovyev
Kim Ø. Rasmussen
Boian S. Alexandrov
Charles K. Nicholas
225
4
0
04 Mar 2024
Semi-supervised Classification of Malware Families Under Extreme Class
  Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic
  Model Selection
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model SelectionACM Transactions on Privacy and Security (ACM TOPS), 2023
M. Eren
Manish Bhattarai
R. Joyce
Edward Raff
Charles K. Nicholas
Boian S. Alexandrov
232
15
0
12 Sep 2023
MalwareDNA: Simultaneous Classification of Malware, Malware Families,
  and Novel Malware
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel MalwareIntelligence and Security Informatics (ISI), 2023
M. Eren
Manish Bhattarai
Kim Ø. Rasmussen
Boian S. Alexandrov
Charles K. Nicholas
174
5
0
04 Sep 2023
Tackling Interpretability in Audio Classification Networks with
  Non-negative Matrix Factorization
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix FactorizationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Jayneel Parekh
Sanjeel Parekh
Pavlo Mozharovskyi
Gaël Richard
Florence dÁlché-Buc
320
11
0
11 May 2023
Generating Hidden Markov Models from Process Models Through Nonnegative
  Tensor Factorization
Generating Hidden Markov Models from Process Models Through Nonnegative Tensor FactorizationACM Transactions on Modeling and Computer Simulation (TOMACS), 2022
E. Skau
A. Hollis
S. Eidenbenz
Kim Ø. Rasmussen
Boian Alexandrov
257
4
0
03 Oct 2022
Unsupervised Learning under Latent Label Shift
Unsupervised Learning under Latent Label ShiftNeural Information Processing Systems (NeurIPS), 2022
Manley Roberts
P. Mani
Saurabh Garg
Zachary Chase Lipton
OOD
370
11
0
26 Jul 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with
  NMF
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMFNeural Information Processing Systems (NeurIPS), 2022
Jayneel Parekh
Sanjeel Parekh
Pavlo Mozharovskyi
Florence dÁlché-Buc
G. Richard
204
29
0
23 Feb 2022
Robust Extrinsic Symmetry Estimation in 3D Point Clouds
Robust Extrinsic Symmetry Estimation in 3D Point Clouds
R. Nagar
3DPC
184
6
0
21 Sep 2021
DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE
  prediction
DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE predictionIEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2021
Betul Guvencpaltun
Samuel Kaski
Hiroshi Mamitsuka
175
11
0
31 Mar 2021
Sparse Methods for Automatic Relevance Determination
Sparse Methods for Automatic Relevance Determination
S. Rudy
T. Sapsis
241
21
0
18 May 2020
Generalized Separable Nonnegative Matrix Factorization
Generalized Separable Nonnegative Matrix FactorizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Junjun Pan
Nicolas Gillis
292
32
0
30 May 2019
Clustering-aware Graph Construction: A Joint Learning Perspective
Clustering-aware Graph Construction: A Joint Learning PerspectiveIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2019
Yuheng Jia
Hui Liu
Xianqiang Lyu
Sam Kwong
270
16
0
04 May 2019
A Ranking Model Motivated by Nonnegative Matrix Factorization with
  Applications to Tennis Tournaments
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments
Rui Xia
Vincent Y. F. Tan
Louis Filstroff
Cédric Févotte
190
1
0
15 Mar 2019
Distributionally Robust and Multi-Objective Nonnegative Matrix
  Factorization
Distributionally Robust and Multi-Objective Nonnegative Matrix FactorizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Nicolas Gillis
L. Hien
Valentin Leplat
Vincent Y. F. Tan
OOD
366
20
0
30 Jan 2019
Model Selection for Nonnegative Matrix Factorization by Support Union
  Recovery
Model Selection for Nonnegative Matrix Factorization by Support Union Recovery
Zhaoqiang Liu
116
1
0
23 Oct 2018
A Survey on Surrogate Approaches to Non-negative Matrix Factorization
A Survey on Surrogate Approaches to Non-negative Matrix Factorization
Pascal Fernsel
Peter Maass
121
5
0
06 Aug 2018
Factor analysis of dynamic PET images: beyond Gaussian noise
Factor analysis of dynamic PET images: beyond Gaussian noise
Y. C. Cavalcanti
Thomas Oberlin
N. Dobigeon
Cédric Févotte
S. Stute
M. Ribeiro
C. Tauber
244
12
0
30 Jul 2018
Negative Binomial Matrix Factorization for Recommender Systems
Negative Binomial Matrix Factorization for Recommender Systems
Olivier Gouvert
Thomas Oberlin
Cédric Févotte
231
11
0
05 Jan 2018
Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small
  Datasets
Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small Datasets
T. Brouwer
Pietro Lio
123
11
0
01 Dec 2017
Vision-based deep execution monitoring
Vision-based deep execution monitoring
Francesco Puja
S. Grazioso
A. Tammaro
Valsamis Ntouskos
Marta Sanzari
F. Pirri
120
1
0
29 Sep 2017
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix
  Factorisation
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation
T. Brouwer
J. Frellsen
Pietro Lio
138
16
0
13 Jul 2017
Rank-One NMF-Based Initialization for NMF and Relative Error Bounds
  under a Geometric Assumption
Rank-One NMF-Based Initialization for NMF and Relative Error Bounds under a Geometric AssumptionIEEE Transactions on Signal Processing (IEEE TSP), 2016
Zhaoqiang Liu
Vincent Y. F. Tan
311
16
0
27 Dec 2016
Identification of release sources in advection-diffusion system by
  machine learning combined with Green function inverse method
Identification of release sources in advection-diffusion system by machine learning combined with Green function inverse method
V. Stanev
Filip L. Iliev
Scott Hansen
V. Vesselinov
Boian S. Alexandrov
167
21
0
12 Dec 2016
A Unified Convergence Analysis of the Multiplicative Update Algorithm
  for Regularized Nonnegative Matrix Factorization
A Unified Convergence Analysis of the Multiplicative Update Algorithm for Regularized Nonnegative Matrix Factorization
Renbo Zhao
Vincent Y. F. Tan
396
21
0
04 Sep 2016
Adaptive Nonnegative Matrix Factorization and Measure Comparisons for
  Recommender Systems
Adaptive Nonnegative Matrix Factorization and Measure Comparisons for Recommender Systems
G. D. Corso
F. Romani
263
15
0
26 Jul 2016
Online Nonnegative Matrix Factorization with Outliers
Online Nonnegative Matrix Factorization with Outliers
Renbo Zhao
Vincent Y. F. Tan
346
55
0
10 Apr 2016
Sparsity and adaptivity for the blind separation of partially correlated
  sources
Sparsity and adaptivity for the blind separation of partially correlated sourcesIEEE Transactions on Signal Processing (IEEE TSP), 2014
J. Bobin
Jérémy Rapin
A. Larue
Jean-Luc Starck
240
55
0
09 Dec 2014
Learning the Information Divergence
Learning the Information DivergenceIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
O. Dikmen
Zhirong Yang
E. Oja
UD
210
38
0
05 Jun 2014
Communication Communities in MOOCs
Communication Communities in MOOCs
Nabeel Gillani
R. Eynon
Michael A. Osborne
I. Hjorth
Stephen J. Roberts
258
22
0
18 Mar 2014
Nonlinear hyperspectral unmixing with robust nonnegative matrix
  factorization
Nonlinear hyperspectral unmixing with robust nonnegative matrix factorizationIEEE Transactions on Image Processing (TIP), 2014
Cédric Févotte
N. Dobigeon
488
196
0
22 Jan 2014
Topic Discovery through Data Dependent and Random Projections
Topic Discovery through Data Dependent and Random ProjectionsInternational Conference on Machine Learning (ICML), 2013
Weicong Ding
M. Rohban
Prakash Ishwar
Venkatesh Saligrama
199
52
0
15 Mar 2013
A New Geometric Approach to Latent Topic Modeling and Discovery
A New Geometric Approach to Latent Topic Modeling and DiscoveryIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013
Weicong Ding
M. Rohban
Prakash Ishwar
Venkatesh Saligrama
312
5
0
05 Jan 2013
Kernelized Bayesian Matrix Factorization
Kernelized Bayesian Matrix FactorizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012
M. Gönen
Suleiman A. Khan
Samuel Kaski
449
109
0
06 Nov 2012
1
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