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Learning Nonlinear Mixtures: Identifiability and Algorithm

Learning Nonlinear Mixtures: Identifiability and Algorithm

6 January 2019
Bo Yang
Xiao Fu
N. Sidiropoulos
Kejun Huang
    CML
ArXiv (abs)PDFHTML

Papers citing "Learning Nonlinear Mixtures: Identifiability and Algorithm"

19 / 19 papers shown
Title
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive
  Learning
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen
Hiroaki Sasaki
Richard Turner
OODCML
104
331
0
22 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
71
203
0
03 Mar 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with
  Application to Topic Modeling
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
Kejun Huang
Xiao Fu
N. Sidiropoulos
46
23
0
19 Feb 2018
Sparse Linear Isotonic Models
Sparse Linear Isotonic Models
Sheng Chen
A. Banerjee
52
3
0
16 Oct 2017
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
Kejun Huang
Xiao Fu
N. Sidiropoulos
92
56
0
15 Nov 2016
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing
  and Document Clustering
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering
Xiao Fu
Kejun Huang
Bo Yang
Wing-Kin Ma
N. Sidiropoulos
43
103
0
15 Aug 2016
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
Xueyu Mao
Purnamrita Sarkar
Deepayan Chakrabarti
94
50
0
01 Jul 2016
Provable Algorithms for Inference in Topic Models
Provable Algorithms for Inference in Topic Models
Sanjeev Arora
Rong Ge
Frederic Koehler
Tengyu Ma
Ankur Moitra
29
30
0
27 May 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and
  Nonlinear ICA
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen
H. Morioka
CMLOODAI4TS
79
410
0
20 May 2016
Optimal linear estimation under unknown nonlinear transform
Optimal linear estimation under unknown nonlinear transform
Xinyang Yi
Zhaoran Wang
Constantine Caramanis
Han Liu
71
29
0
13 May 2015
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares
  Method
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method
Boaz Barak
Jonathan A. Kelner
David Steurer
105
189
0
06 Jul 2014
Identifiability of the Simplex Volume Minimization Criterion for Blind
  Hyperspectral Unmixing: The No Pure-Pixel Case
Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case
Chia-Hsiang Lin
Wing-Kin Ma
Wei-Chiang Li
Chong-Yung Chi
Arulmurugan Ambikapathi
112
115
0
20 Jun 2014
Nonlinear hyperspectral unmixing with robust nonnegative matrix
  factorization
Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization
Cédric Févotte
N. Dobigeon
155
186
0
22 Jan 2014
Nonlinear unmixing of hyperspectral images: models and algorithms
Nonlinear unmixing of hyperspectral images: models and algorithms
N. Dobigeon
J. Tourneret
C. Richard
J. Bermudez
S. Mclaughlin
Alfred Hero
90
419
0
06 Apr 2013
Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis
Thomas Hofmann
449
2,808
0
23 Jan 2013
A Practical Algorithm for Topic Modeling with Provable Guarantees
A Practical Algorithm for Topic Modeling with Provable Guarantees
Sanjeev Arora
Rong Ge
Yoni Halpern
David M. Mimno
Ankur Moitra
David Sontag
Yichen Wu
Michael Zhu
91
437
0
19 Dec 2012
A Spectral Algorithm for Latent Dirichlet Allocation
A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar
Dean Phillips Foster
Daniel J. Hsu
Sham Kakade
Yi-Kai Liu
206
301
0
30 Apr 2012
Learning Topic Models - Going beyond SVD
Learning Topic Models - Going beyond SVD
Sanjeev Arora
Rong Ge
Ankur Moitra
195
434
0
09 Apr 2012
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse
  Regression-Based Approaches
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
J. Bioucas-Dias
Antonio J. Plaza
N. Dobigeon
M. Parente
Q. Du
P. Gader
Jocelyn Chanussot
113
2,574
0
28 Feb 2012
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