Video Retrieval for Multimedia Verification of Breaking News on Social Networks-Reference-Cited by-同舟云学术

Video Retrieval for Multimedia Verification of Breaking News on Social Networks

Published:2017-10-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the First International Workshop on Multimedia Verification
language:
Short-container-title:

Author:

Nixon Lyndon J.B.¹,Zhu Shu¹,Fischer Fabian¹,Rafelsberger Walter²,Göbel Max²,Scharl Arno²

Affiliation:

1. MODUL Technology, Vienna, Austria

2. webLyzard technology, Vienna, Austria

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132384.3132386

Reference21 articles.

1. Sensing Trending Topics in Twitter

2. David M. Blei Andrew Y. Ng and Michael I. Jordan. 2003. Latent Dirichlet Allocation. J. Mach. Learn. Res. 3 (March 2003) 993--1022. http://dl.acm.org/citation.cfm?id=944919.944937 David M. Blei Andrew Y. Ng and Michael I. Jordan. 2003. Latent Dirichlet Allocation. J. Mach. Learn. Res. 3 (March 2003) 993--1022. http://dl.acm.org/citation.cfm?id=944919.944937

3. Igor Brigadir Derek Greene and Pádraig Cunningham. 2014. Adaptive Representations for Tracking Breaking News on Twitter. CoRR abs/1403.2923 (2014). http://arxiv.org/abs/1403.2923 Igor Brigadir Derek Greene and Pádraig Cunningham. 2014. Adaptive Representations for Tracking Breaking News on Twitter. CoRR abs/1403.2923 (2014). http://arxiv.org/abs/1403.2923

4. Emerging topic detection on Twitter based on temporal and social terms evaluation

5. Indexing by latent semantic analysis

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