[ABE-L] Call for Papers: Integrating Geometry and Multivariate Statistics for Multimedia Data Analysis

[Gilson Antonio Giraldi]

Dear ABE Members,

Please, consider to submit a contribution to the Special Issue:

'Geometric Analysis of Multimedia Data: Geometry as a Paradigm for
Machine Learning and Data Mining in Multimedia Systems',

which has been posted by the Advances in Multimedia journal.
For more details consult the web site:
https://www.hindawi.com/journals/am/si/960946/cfp/

Potential topics, but not limited to, are the following:

1) Data models integrating geometry, multivariate statistics and
sampling theory

2) Generative models and manifolds for multimodal information retrieval

3) Geometric analysis of deep hierarchical structures in multimedia

4) Topological data analysis for studying geometric features of data

5) Multimedia data mining and analysis based on Geometry and Topology

6) Multimedia data analysis based on manifold learning

7) Geometric based approaches for metric learning

8) Geometry as a paradigm to discuss deep learning algorithms in
multimedia applications

Submission Deadline: 10 August 2018
Publication Date:        December 2018


Lead Guest Editor
[Gilson Antonio Giraldi, National Laboratory for Scientific Computing,
Petrópolis, Brazil]
[gilson em lncc.br]

Guest Editors
[Carlos Eduardo Thomaz, University Center of FEI, São Bernardo do
Campo, Brazil]
[cet em fei.edu.br]

[Jaime dos Santos Cardoso, University of Porto, Porto, Portugal]
[jaime.cardoso em inesctec.pt]

[J. Dinesh Peter, Karunya Institute of Technology & Sciences,
Coimbatore, India] [dineshpeter em karunya.edu]