Bayesian Nonparametric Priors for Hidden Markov Random Fields: Application to Image Segmentation

Hongliang Lu; Julyan Arbel; Florence Forbes

Poster communications

Bayesian Nonparametric Priors for Hidden Markov Random Fields: Application to Image Segmentation

Hongliang Lu ¹ Julyan Arbel ¹ Florence Forbes ¹

1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems

Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble

Domain :

Statistics [stat] / Computation [stat.CO]

Statistics [stat] / Statistics Theory [stat.TH]

Statistics [stat] / Applications [stat.AP]

Statistics [stat] / Methodology [stat.ME]

Complete list of metadatas

Cited literature [5 references] Display Hide Download

https://hal.archives-ouvertes.fr/hal-01950666
Contributor : Julyan Arbel <>
Submitted on : Tuesday, December 11, 2018 - 4:23:47 AM
Last modification on : Thursday, May 28, 2020 - 9:16:02 PM
Document(s) archivé(s) le : Tuesday, March 12, 2019 - 12:49:55 PM

poster_HL_version_imprimer.pdf

Files produced by the author(s)

Bayesian Nonparametric Priors for Hidden Markov Random Fields: Application to Image Segmentation

File

Identifiers

Collections

Citation

Export

Metrics

256

114

Contact

Informations

Bayesian Nonparametric Priors for Hidden Markov Random Fields: Application to Image Segmentation

File

Identifiers

Collections

Citation

Export

Share

Metrics

256

114

Contact

Informations