Modeling group dynamics using graphical models and tensor decompositions

Lin Li; Ananthram Swami; Anna Scaglione

doi:10.1109/GlobalSIP.2014.7032228

Modeling group dynamics using graphical models and tensor decompositions

Lin Li, Ananthram Swami, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We propose a general modeling framework for learning group dynamics in data collected from multiple information sources and over time. In particular, groups are characterized by specific temporal patterns based on hidden Markov models. Tensor decomposition techniques combined with graphical models are used to extract group information from the observed data.

Original language	English (US)
Title of host publication	2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	793-797
Number of pages	5
ISBN (Electronic)	9781479970889
DOIs	https://doi.org/10.1109/GlobalSIP.2014.7032228
State	Published - Feb 5 2014
Externally published	Yes
Event	2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States Duration: Dec 3 2014 → Dec 5 2014

Publication series

Name	2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014

Other

Other	2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
Country/Territory	United States
City	Atlanta
Period	12/3/14 → 12/5/14

ASJC Scopus subject areas

Signal Processing
Information Systems

Access to Document

10.1109/GlobalSIP.2014.7032228

Cite this

Li, L., Swami, A., & Scaglione, A. (2014). Modeling group dynamics using graphical models and tensor decompositions. In 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 (pp. 793-797). Article 7032228 (2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2014.7032228

Modeling group dynamics using graphical models and tensor decompositions. / Li, Lin; Swami, Ananthram; Scaglione, Anna.
2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 793-797 7032228 (2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, L, Swami, A & Scaglione, A 2014, Modeling group dynamics using graphical models and tensor decompositions. in 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014., 7032228, 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 793-797, 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014, Atlanta, United States, 12/3/14. https://doi.org/10.1109/GlobalSIP.2014.7032228

Li L, Swami A, Scaglione A. Modeling group dynamics using graphical models and tensor decompositions. In 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 793-797. 7032228. (2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014). doi: 10.1109/GlobalSIP.2014.7032228

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author = "Lin Li and Ananthram Swami and Anna Scaglione",

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Modeling group dynamics using graphical models and tensor decompositions

Abstract

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Other

ASJC Scopus subject areas

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