@inproceedings{faf64cec5f1c40e0a1de3a6b22477301,
title = "An exact smoother in a fuzzy jump Markov switching model",
abstract = "In this paper, we proposed an extension of the classical Conditionally Gaussian Observed Markov Switching Model (CGOMSM) by incorporating fuzzy switches. The proposed approach allows the modeling of transient switches and handles the discontinuity feature in switching regime models by using fuzzy switches instead of hard jumps. Fuzzy switched based approach is more adapted to real-world application in which regime continuity is an intrinsic property. To define an efficient scheme for an exact smoothing in CGOMFSM, we adapt fast smoothing equations to cope with the fuzzy model. Finally, we show through several experiments the interest of the fuzzy switches model.",
keywords = "Exact smoothing, Fuzzy switching models, Non-linear Markov systems",
author = "Zied Bouyahia and St{\'e}phane Derrode and Wojciech Pieczynski",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 6th International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data, RFMI 2016 ; Conference date: 27-10-2016 Through 29-10-2016",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-60654-5\_10",
language = "English",
isbn = "9783319606538",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "111--125",
editor = "Faten Chaieb and Faouzi Ghorbel and \{Ben Amor\}, Boulbaba",
booktitle = "Representations, Analysis and Recognition of Shape and Motion from Imaging Data - 6th International Workshop, RFMI 2016, Revised Selected Papers",
}