Emmanuel Monfrini

Algorithms, March, 2023

Linear chain conditional random fields, hidden Markov models, and related classifiers.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Deriving discriminative classifiers from generative models.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

Unsupervised image segmentation with Gaussian Pairwise Markov Fields.

[BibT_eX]

[DOI]

Hugo Gangloff

Comput. Stat. Data Anal., 2021

Using the Naive Bayes as a discriminative model.

[BibT_eX]

[DOI]

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Unsupervised Image Segmentation with Spatial Triplet Markov Trees.

[BibT_eX]

[DOI]

Hugo Gangloff

Proceedings of the IEEE International Conference on Acoustics, 2021

Introducing the Hidden Neural Markov Chain Framework.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Fast Image Segmentation with Contextual Scan and Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Highly Fast Text Segmentation With Pairwise Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE Congress on Information Science and Technology, 2021

2020

Using the Naive Bayes as a discriminative classifier.

[BibT_eX]

[DOI]

CoRR, 2020

Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging.

[BibT_eX]

[DOI]

CoRR, 2020

Improved centerline tracking for new descriptors of atherosclerotic aortas.

[BibT_eX]

[DOI]

Hugo Gangloff

Mohamed Zied Ghariani

Mickaël Ohana

Nabil Chakfé

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

2019

Pairwise Markov fields for segmentation in astronomical hyperspectral images.

[BibT_eX]

[DOI]

Signal Process., 2019

2018

Assessing the segmentation performance of pairwise and triplet Markov models.

[BibT_eX]

[DOI]

Signal Process., 2018

Oriented Triplet Markov Fields.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2018

Triplet Markov Trees for Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

Fast Filtering in Switching Approximations of Nonlinear Markov Systems With Applications to Stochastic Volatility.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Extended faint source detection in astronomical hyperspectral images.

[BibT_eX]

[DOI]

Signal Process., 2017

Fast smoothing in switching approximations of non-linear and non-Gaussian models.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2017

Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise.

[BibT_eX]

[DOI]

Proceedings of the Enterprise Information Systems - 19th International Conference, 2017

Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the ICEIS 2017, 2017

Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Pairwise Markov models for stock index forecasting.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Markov Chains for unsupervised segmentation of degraded NIR iris images for person recognition.

[BibT_eX]

[DOI]

Meriem Yahiaoui

Bernadette Dorizzi

Pattern Recognit. Lett., 2016

Oriented Triplet Markov fields for hyperspectral image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Fast filtering with new sparse transition Markov chains.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Unsupervised learning of Markov-switching stochastic volatility with an application to market data.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Detection of faint extended sources in hyperspectral data and application to HDF-S MUSE observations.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

2-Step robust vertebra segmentation.

[BibT_eX]

[DOI]

Edmond Rust

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Exact fast smoothing in switching models with application to stochastic volatility.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Phasic Triplet Markov Chains.

[BibT_eX]

[DOI]

Amar Aissani

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Implementation of Unsupervised Statistical Methods for Low-Quality Iris Segmentation.

[BibT_eX]

[DOI]

Meriem Yahiaoui

Bernadette Dorizzi

Proceedings of the Tenth International Conference on Signal-Image Technology and Internet-Based Systems, 2014

2012

Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2012

Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context.

[BibT_eX]

[DOI]

Amar Aïssani

EURASIP J. Adv. Signal Process., 2012

Unsupervised segmentation of nonstationary pairwise Markov Chains using evidential priors.

[BibT_eX]

[DOI]

Proceedings of the 20th European Signal Processing Conference, 2012

2011

A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies.

[BibT_eX]

[DOI]

Yann Guermeur

Informatica, 2011

Unsupervised segmentation of switching pairwise Markov chains.

[BibT_eX]

[DOI]

Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence.

[BibT_eX]

[DOI]

François Desbouvries

Yohan Petetin

Proceedings of the IEEE International Conference on Acoustics, 2011

2008

A Quadratic Loss Multi-Class SVM

[BibT_eX]

[DOI]