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  Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models

Chiappa, S., & Barber, D. (2007). Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models. In 2007 5th International Symposium on Image and Signal Processing and Analysis (pp. 446-451). Piscataway, NJ, USA: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CBF5-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-D225-6
Genre: Conference Paper

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4383735 (Publisher version)
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 Creators:
Chiappa, S1, 2, Author           
Barber, D, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: We consider a model to cluster the components of a vector time-series. The task is to assign each component of the
vector time-series to a single cluster, basing this assignment
on the simultaneous dynamical similarity of the component
to other components in the cluster. This is in contrast to the
more familiar task of clustering a set of time-series based on
global measures of their similarity. The model is based on
a Dirichlet Mixture of Linear Gaussian State-Space models
(LGSSMs), in which each LGSSM is treated with a prior to
encourage the simplest explanation. The resulting model is
approximated using a ‘collapsed’ variational Bayes implementation.

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 Dates: 2007-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ISPA.2007.4383735
BibTex Citekey: 4913
 Degree: -

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Title: 5th International Symposium on Image and Signal Processing and Analysis (ISPA 2007)
Place of Event: Istanbul, Turkey
Start-/End Date: 2007-09-27 - 2007-09-29

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Title: 2007 5th International Symposium on Image and Signal Processing and Analysis
Source Genre: Proceedings
 Creator(s):
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 446 - 451 Identifier: ISBN: 978-953-184-116-0