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Bayesian orthogonal component analysis for sparse representation
v1v2v3 (latest)

Bayesian orthogonal component analysis for sparse representation

31 August 2009
N. Dobigeon
J. Tourneret
    CML
ArXiv (abs)PDFHTML

Papers citing "Bayesian orthogonal component analysis for sparse representation"

10 / 10 papers shown
Efficient Adaptive Federated Optimization of Federated Learning for IoT
Efficient Adaptive Federated Optimization of Federated Learning for IoT
Zunming Chen
Hongyan Cui
Ensen Wu
Yu Xi
254
0
0
23 Jun 2022
Discriminative Dictionary Learning based on Statistical Methods
Discriminative Dictionary Learning based on Statistical Methods
G. Madhuri
A. Negi
171
7
0
17 Nov 2021
Matrix cofactorization for joint spatial-spectral unmixing of
  hyperspectral images
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral imagesIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
A. Lagrange
M. Fauvel
S. May
N. Dobigeon
272
6
0
19 Jul 2019
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization
Yang Song
Jun Zhu
324
10
0
03 Dec 2015
Variational Bayesian strategies for high-dimensional, stochastic design
  problems
Variational Bayesian strategies for high-dimensional, stochastic design problemsJournal of Computational Physics (JCP), 2015
P. Koutsourelakis
120
9
0
24 Jul 2015
Sparse Variational Bayesian Approximations for Nonlinear Inverse
  Problems: applications in nonlinear elastography
Sparse Variational Bayesian Approximations for Nonlinear Inverse Problems: applications in nonlinear elastography
I. Franck
P. Koutsourelakis
398
32
0
01 Dec 2014
Discussion of "Geodesic Monte Carlo on Embedded Manifolds"
Discussion of "Geodesic Monte Carlo on Embedded Manifolds"
Simon Byrne
Mark Girolami
P. Diaconis
C. Seiler
Susan P. Holmes
...
Marcelo Pereyra
Babak Shahbaba
Shiwei Lan
J. Streets
Daniel P. Simpson
256
0
0
05 Nov 2013
Metropolis-Hastings within Partially Collapsed Gibbs Samplers
Metropolis-Hastings within Partially Collapsed Gibbs Samplers
D. V. van Dyk
X. Jiao
238
53
0
12 Sep 2013
Geodesic Monte Carlo on Embedded Manifolds
Geodesic Monte Carlo on Embedded Manifolds
Simon Byrne
Mark Girolami
352
158
0
25 Jan 2013
Estimating the granularity coefficient of a Potts-Markov random field
  within an MCMC algorithm
Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithmIEEE Transactions on Image Processing (TIP), 2012
Marcelo Pereyra
N. Dobigeon
H. Batatia
J. Tourneret
308
71
0
23 Jul 2012
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