Maximum-a-posteriori estimation with unknown regularisation parameters

Marcelo Pereyra; Jose M. Bioucas-Dias; Mário A. T. Figueiredo

doi:10.1109/EUSIPCO.2015.7362379

Maximum-a-posteriori estimation with unknown regularisation parameters

Marcelo Pereyra, Jose M. Bioucas-Dias, Mário A. T. Figueiredo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2015 23rd European Signal Processing Conference (EUSIPCO)
Pages	230-234
Number of pages	5
ISBN (Electronic)	978-0-9928-6263-3
DOIs	https://doi.org/10.1109/EUSIPCO.2015.7362379
Publication status	Published - Dec 2015
Event	23rd European Signal Processing Conference 2015 - Nice, France Duration: 31 Aug 2015 → 4 Sept 2015

Conference

Conference	23rd European Signal Processing Conference 2015
Abbreviated title	EUSIPCO 2015
Country/Territory	France
City	Nice
Period	31/08/15 → 4/09/15

Keywords

Bayes methods
compressed sensing
image processing
inference mechanisms
maximum likelihood estimation
wavelet transforms
Bayesian inference technique
I1-wavelet analysis
closed-form analytic expression
compressive sensing
hierarchical Bayesian method
marginalised model
maximum-a-posteriori estimation
maximum-a-posteriori inference
unknown regularisation parameter estimation
Approximation methods
Compressed sensing
Computational modeling
Estimation
Signal processing
Signal processing algorithms
hierarchical Bayesian inference
inverse problems
regularisation parameters
statistical signal processing

Access to Document

10.1109/EUSIPCO.2015.7362379

Cite this

@inproceedings{9a31b333e4434a4e8451c3fb6f5a0cc4,

title = "Maximum-a-posteriori estimation with unknown regularisation parameters",

keywords = "Bayes methods, compressed sensing, image processing, inference mechanisms, maximum likelihood estimation, wavelet transforms, Bayesian inference technique, I1-wavelet analysis, closed-form analytic expression, compressive sensing, hierarchical Bayesian method, marginalised model, maximum-a-posteriori estimation, maximum-a-posteriori inference, unknown regularisation parameter estimation, Approximation methods, Compressed sensing, Computational modeling, Estimation, Signal processing, Signal processing algorithms, hierarchical Bayesian inference, inverse problems, regularisation parameters, statistical signal processing",

author = "Marcelo Pereyra and Bioucas-Dias, {Jose M.} and Figueiredo, {M{\'a}rio A. T.}",

year = "2015",

month = dec,

doi = "10.1109/EUSIPCO.2015.7362379",

language = "English",

pages = "230--234",

booktitle = "2015 23rd European Signal Processing Conference (EUSIPCO)",

note = "23rd European Signal Processing Conference 2015, EUSIPCO 2015 ; Conference date: 31-08-2015 Through 04-09-2015",

}

TY - GEN

T1 - Maximum-a-posteriori estimation with unknown regularisation parameters

AU - Pereyra, Marcelo

AU - Bioucas-Dias, Jose M.

AU - Figueiredo, Mário A. T.

PY - 2015/12

Y1 - 2015/12

KW - Bayes methods

KW - compressed sensing

KW - image processing

KW - inference mechanisms

KW - maximum likelihood estimation

KW - wavelet transforms

KW - Bayesian inference technique

KW - I1-wavelet analysis

KW - closed-form analytic expression

KW - compressive sensing

KW - hierarchical Bayesian method

KW - marginalised model

KW - maximum-a-posteriori estimation

KW - maximum-a-posteriori inference

KW - unknown regularisation parameter estimation

KW - Approximation methods

KW - Compressed sensing

KW - Computational modeling

KW - Estimation

KW - Signal processing

KW - Signal processing algorithms

KW - hierarchical Bayesian inference

KW - inverse problems

KW - regularisation parameters

KW - statistical signal processing

U2 - 10.1109/EUSIPCO.2015.7362379

DO - 10.1109/EUSIPCO.2015.7362379

M3 - Conference contribution

SP - 230

EP - 234

BT - 2015 23rd European Signal Processing Conference (EUSIPCO)

T2 - 23rd European Signal Processing Conference 2015

Y2 - 31 August 2015 through 4 September 2015

ER -