A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update
MetadataShow full item record
This paper proposes a new implementation for the delta generalized labeled multi-Bernoulli (d-GLMB) filter by combining prediction and update into a single step. In contrast to the original implementation which requires different truncation procedures for each component in the prediction and update, the joint strategy involves only one truncation per component in the filtering density, thus drastically reduces the number of computations. Performance comparison with the original implementation is presented through numerical studies.
Showing items related by title, author, creator and subject.
Qualitative study on the implementation of professional pharmacy services in Australian community pharmacies using framework analysisMoullin, Joanna; Sabater-Hernández, D.; Benrimoj, S. (2016)© 2016 The Author(s). Background: Multiple studies have explored the implementation process and influences, however it appears there is no study investigating these influences across the stages of implementation. Community ...
Hospital information systems implementation framework: critical success factors for Malaysian public hospitalsAbdullah, Zainatul Shima (2013)The delivery of high quality health services is among the most important government policies in healthcare; it is demonstrated via the significant investment committed to expand the sector. In order to provide quality ...
A systematic review of implementation frameworks of innovations in healthcare and resulting generic implementation frameworkMoullin, Joanna; Sabater-Hernández, D.; Fernandez-Llimos, F.; Benrimoj, S. (2015)© 2015 Moullin et al. Background: Implementation science and knowledge translation have developed across multiple disciplines with the common aim of bringing innovations to practice. Numerous implementation frameworks, ...