Cargando…
Dempster-Shafer Parzen-Rosenblatt Hidden Markov Fields for Multichannel Image Segmentation
Theory of evidence has been successfully used in many areas covering pattern recognition and image processing due to its effectiveness in both information fusion and reasoning under uncertainty. Such notoriety led to extension of many existing Bayesian tools such as hidden Markov models, extensively...
Autores principales: | Boudaren, Mohamed El Yazid, Hamache, Ali, Debicha, Islam, Sadouk, Hamza Tarik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274318/ http://dx.doi.org/10.1007/978-3-030-50146-4_45 |
Ejemplares similares
-
A modified belief entropy in Dempster-Shafer framework
por: Zhou, Deyun, et al.
Publicado: (2017) -
Interval-valued belief entropies for Dempster–Shafer structures
por: Xue, Yige, et al.
Publicado: (2021) -
Dempster-Shafer Theory: Ηow Constraint Programming Can Help
por: Kaltsounidis, Alexandros, et al.
Publicado: (2020) -
Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust
por: Wang, Xin, et al.
Publicado: (2016) -
Staging of Prostate Cancer Using Automatic Feature Selection, Sampling and Dempster-Shafer Fusion
por: Chandana, Sandeep, et al.
Publicado: (2009)